Journal Articles|Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, and Yen-Yu Lin, "GOT-JEPA: Generic Object Tracking with Model Adaptation and Occlusion Handling using Joint-Embedding Predictive Architecture," to appear in IEEE Transactions on Circuits and Systems for Video Technology (TCSVT).
Journal Articles|Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin, "Improving Visual Object Tracking through Visual Prompting," IEEE Transactions on Multimedia, volume 27, pages 2682 - 2694, January 2025.
Journal Articles|Jingcheng Ke, Dele Wang, Jun-Cheng Chen, I-Hong Jhuo, Chia-Wen Lin, Yen-Yu Lin, "Make Graph-based Referring Expression Comprehension Great Again through Expression-guided Dynamic Gating and Regression," IEEE Transactions on Multimedia, volume 27, pages 1950 - 1961, December 2024.
Journal Articles|Chia-Yi Lin, Jun-Cheng Chen, Ja-Ling Wu, "A Lightweight Enhancement Approach for Real-Time Semantic Segmentation by Distilling Rich Knowledge from Pre-Trained Vision-Language Model," APSIPA Transactions on Signal and Information Processing, volume 13, number 5, pages e400, October 2024.
Journal Articles|Sarwar Khan, Jun-Cheng Chen, Wen-Hung Liao, Chu-Song Chen, "Towards Adversarial Robustness for Multi-Mode Data through Metric Learning," Sensors, volume 23, number 13, pages 6173, July 2023.
Journal Articles|Jingcheng Ke, Jia Wang, Jun-Cheng Chen, I-Hong Jhuo, Chia-Wen Lin and Yen-Yu Lin, "CLIPREC: Graph-based Domain Adaptive Network for Zero-Shot Referring Expression Comprehension," IEEE Transactions on Multimedia, volume 26, pages 2480-2492, July 2023, Early Access.
Journal Articles|Jiun-Da Lin, Yue-Hua Han, Po-Han Huang, Julianne Tan, Jun-Cheng Chen, M. Tanveer, Kai-Lung Hua, "DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing," Neural Networks, volume 161, pages 83-91, April 2023.
Journal Articles|Yi-Lun Pan, Jun-Cheng Chen, Ja-Ling Wu, "Towards a Controllable and Reversible Privacy Protection System for Facial Images through Enhanced Multi-Factor Modifier Networks," Entropy, volume 25, number 2, pages 272, February 2023.
Journal Articles|Ching-Hao Wang, Kang-Yang Huang, Yao Yi, Jun-Cheng Chen, Hong-Han Shuai, and Wen-Huang Cheng, "Lightweight Deep Learning: An Overview," IEEE Consumer Electronics Magazine, pages 1 - 12, June 2022.
Journal Articles|Jiun-Da Lin, Hung-Hsiang Lin, Jilyan Dy, Jun-Cheng Chen, M. Tanveer, Imran Razzak, Kai-Lung Hua, "Lightweight Face Anti-Spoofing Network for Telehealth Applications," IEEE Journal of Biomedical and Health Informatics, volume 26, number 5, pages 1987 - 1996, May 2022.
Journal Articles|Hung-Hsiang Lin, Jiun-Da Lin, Jose Jaena Mari Ople, Jun-Cheng Chen, and Kai-Lung Hua, "Social Media Popularity Prediction based on Multi-modal Self-Attention Mechanisms," IEEE Access, volume 10, pages 4448 - 4455, December 2021.
Journal Articles|Chien-Wen Chen, Min-Chun Hu, Wei-Ta Chu, Jun-Cheng Chen, "A Real-Time Sculpting and Terrain Generation System for Interactive Content Creation," IEEE Access, volume 9, pages 114914 - 114928, August 2021.
Journal Articles|Jingxiao Zheng, Rajeev Ranjan, Ching-Hui Chen, Jun-Cheng Chen, Carlos D Castillo, Rama Chellappa, "An Automatic System for Unconstrained Video-based Face Recognition," IEEE Transactions on Biometrics, Behavior, and Identity Science, volume 2, number 3, pages 194-209, July 2020.
Journal Articles|Boyu Lu, Jun-Cheng Chen, Rama Chellappa, "UID-GAN: Unsupervised Image Deblurring via Disentangled Representations," IEEE Transactions on Biometrics, Behavior, and Identity Science, volume 2, number 1, pages 26-39, January 2020.
Journal Articles|Matthew Q. Hill, Connor J. Parde, Carlos D. Castillo, Y. Ivette Colon, Rajeev Ranjan, Jun-Cheng Chen, Volker Blanz, and Alice J. O'Toole, "Deep Convolutional Neural Networks In the Face of Caricature," Nature Machine Intelligence, volume 1, number 11, pages 522-529, November 2019.
Journal Articles|Rajeev Ranjan, Ankan Bansal, Jingxiao Zheng, Hongyu Xu, Joshua Gleason, Boyu Lu, Anirudh Nanduri, Jun-Cheng Chen, Carlos D Castillo, Rama Chellappa, "A Fast and Accurate System for Face Detection, Identification, and Verification," IEEE Transactions on Biometrics, Behavior, and Identity Science, volume 1, number 2, pages 82-96, April 2019.
Journal Articles|Boyu Lu, Jun-Cheng Chen, Carlos D Castillo, Rama Chellappa, "An Experimental Evaluation of Covariates Effects on Unconstrained Face Verification," IEEE Transactions on Biometrics, Behavior, and Identity Science, volume 1, number 1, pages 42-55, January 2019.
Journal Articles|Wei-An Lin, Jun-Cheng Chen, Rajeev Ranjan, Ankan Bansal, Swami Sankaranarayanan, Carlos D Castillo, Rama Chellappa, "Proximity-Aware Hierarchical Clustering of Unconstrained Faces," Image and Vision Computing, volume 77, pages 33-44, September 2018.
Journal Articles|P Jonathon Phillips, Amy N Yates, Ying Hu, Carina A Hahn, Eilidh Noyes, Kelsey Jackson, Jacqueline G Cavazos, Geraldine Jeckeln, Rajeev Ranjan, Swami Sankaranarayanan, Jun-Cheng Chen, Carlos D Castillo, Rama Chellappa, David White, Alice J O'Toole, "Face Recognition Accuracy of Forensic Examiners, Superrecognizers, and Face Recognition Algorithms," Proceedings of the National Academy of Sciences, volume 115, number 24, pages 6171-6176, June 2018.
Journal Articles|Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Ching-Hui Chen, Vishal M Patel, Carlos D Castillo, Rama Chellappa, "Unconstrained Still/Video-based Face Verification with Deep Convolutional Neural Networks," International Journal of Computer Vision, volume 126, number 2-4, pages 272-291, April 2018.
Journal Articles|Rajeev Ranjan, Swami Sankaranarayanan, Ankan Bansal, Navaneeth Bodla, Jun-Cheng Chen, Vishal M Patel, Carlos D Castillo, Rama Chellappa, "Deep learning for understanding faces: Machines may be just as good, or better, than humans," IEEE Signal Processing Magazine, volume 35, number 1, pages 66-83, January 2018.
Journal Articles|Wei-Ta Chu, Jun-Cheng Chen, Ja-Ling Wu, "Tiling Slideshow: An Audiovisual Presentation Method for Consumer Photos," IEEE MultiMedia, volume 14, number 3, pages 36-45, July 2007.
Conference Papers|Chun-Tin Wu, Jun-Cheng Chen, "4D Neural Voxel Splatting: Dynamic Scene Rendering with Voxelized Guassian Splatting," to appear in IEEE International Conference on Image Processing (ICIP).
Conference Papers|Cheng-Yi Lee, Yichi Zhang, Yuchen Yang, Chun-Shien Lu, Jun-Cheng Chen, "Rethinking Forgery Attacks on Semantic Watermarks in Black-Box Settings: A Geometric Distortion Perspective," to appear in International Conference on Machine Learning (ICML).
Conference Papers|Jing-En Huang, I-Sheng Fang, Tzuhsuan Huang, Yu-Lun Liu, Chih-Yu Wang, Jun-Cheng Chen, "Gen-n-Val: Agentic Image Data Generation and Validation," to appear in IEEE/CVF Conference on Computer Vision and Pattern Recognition (Finding Track) (CVPR Finding).
Conference Papers|Pin-Yen Chiu, Dai-Jie Wu, Po-Hsun Chu, Chia-Hsuan Hsu, Hsiang-Chen Chiu, Chih-Yu Wang, Jun-Cheng Chen, "StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion Transformer," to appear in IEEE International Conference on Automatic Face and Gesture Recognition (FG).
Conference Papers|Ernie Chu, I-Sheng Fang, Tai-Ming Huang, Pin-Yen Chiu, Vishal Patel, Jun-Cheng Chen, "Adapt2Hide: Leveraging Off-the-shelf Autoencoder for Reversible Visual Processing," to appear in IEEE International Conference on Image Processing (ICIP).
Conference Papers|Shih-Fang Chen, Jun-Cheng Chen, I-Hong Jhuo, and Yen-Yu Lin, "GOT-Edit: Geometry-Aware Generic Object Tracking via Online Model Editing," to appear in International Conference on Learning Representations (ICLR).
Conference Papers|Wei-Han Chen, Yu-Feng Chen, Jun-Cheng Chen, "Cohesion: Consensus-based Hallucination Subspace Estimation for Multimodal Large Language Models," IEEE International conference on Image Processing (ICIP), September 2026.
Conference Papers|Chen-Che Huang, Tzuhsuan Huang, Jun-Cheng Chen, "CropAT: Leveraging Diffusion-Generated Target-Like Cropped Objects for Pseudo-Label Refinement in Domain-Adaptive Object Detection," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), March 2026.
Conference Papers|Pin-Yen Chiu, I-Sheng Fang, Jun-Cheng Chen, "Text Slider: Efficient and Plug-and-Play Continuous Concept Control for Image/Video Synthesis via LoRA Adapters," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), March 2026.
Conference Papers|Ying-Kun Wu, Yi Shen, Tzuhsuan Huang, I-Sheng Fang, Jun-Cheng Chen, "KMOPS: Keypoint-Driven Method for Multi-Object Pose and Metric Size Estimation from Stereo Images," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), March 2026.
Conference Papers|Ju Hsuan Weng, Jia-Wei Liao, Cheng-Fu Chou, Jun-Cheng Chen, "M-ErasureBench: A Comprehensive Multimodal Evaluation Benchmark for Concept Erasure in Diffusion Models," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), March 2026.
Conference Papers|Yang-Che Sun, Cheng Yu Yeo, Ernie Chu, Jun-Cheng Chen, Yu-Lun Liu, "FIPER: Factorized Features for Robust Image Super-Resolution and Compression," Annual Conference on Neural Information Processing Systems (NeurIPS), December 2025.
Conference Papers|Pei-Kang Lee, Jun-Cheng Chen, Ja-ling Wu, "Harnessing Large Language and Vision-Language Models for Robust Out-of-Distribution Detection," Asian Conference on Machine Learning (ACML), December 2025.
Conference Papers|Tzuhsuan Huang, Cheng Yu Yeo, Tsai-Ling Huang, Hong-Han Shuai, Wen-Huang Cheng, Jun-Cheng Chen, "Enhancing Robustness in Post-Processing Watermarking: An Ensemble Attack Network Using CNNs and Transformers," ACM Workshop on Artificial Intelligence and Security (AISec'25) held in joint with ACM Conference on Computer and Communications Security (CCS), October 2025.
Conference Papers|Yen-Ku Yeh, Chun-Hao Yang, Kun-Tai Wu, Yan-Tsung Peng, Chun-Rong Huang, Jun-Cheng Chen, "Restore Anything Anywhere: Targeted Image Restoration with Object Segmentation and Text Guidance," IEEE International Workshop on Multimedia Signal Processing (MMSP), September 2025.
Conference Papers|Shu-Tzu Lo, Tai-Ming Huang, Yue-Hua Han, Kai-Lung Hua, Jun-Cheng Chen, "ExDF: Explainable Deepfake Detection with Vision-Language Model," IEEE International conference on Image Processing (ICIP), September 2025, spotlight.
Conference Papers|Shih-Jui Liang, Zihao Chen, Jun-Cheng Chen, Yan-Tsung Peng, "Enhancing Image Deraining through VLM-Based Data Refinement and Classification," IEEE International conference on Image Processing (ICIP), September 2025, oral.
Conference Papers|I-Chung Chiu, Jun-Cheng Chen, I-Hong Jhuo, and Yen-Yu Lin, "Consistent View Synthesis with Bidirectional Epipolar Attention and Reconstruction," IEEE International Conference on Image Processing (ICIP), September 2025, oral.
Conference Papers|Shuo-Yen Lin, Ernie Chu, Po-Hung Yeh, Jun-Cheng Chen, Jia-Ching Wang, "Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based on Diffusion Model for Object Detector," IEEE International conference on Image Processing (ICIP), September 2025.
Conference Papers|Yu-Feng Chen, Tzuhsuan Huang, Pin-Yen Chiu, Jun-Cheng Chen, "Invisible Backdoor Triggers in Image Editing Model via Deep Watermarking," IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS), August 2025.
Conference Papers|Jun-Cheng Chen, "CSS: Clustering-guided SliderSpace for Under-represented Visual Concept Exploration of Diffusion Models," IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS), August 2025.
Conference Papers|Wa-Kin Lei, Jun-Cheng Chen, and Shang-Tse Chen, "DRAG: Data Reconstruction Attack using Guided Diffusion," International Conference on Machine Learning (ICML), July 2025.
Conference Papers|Yue-Hua Han, Tai-Ming Huang, Kai-Lung Hua, Jun-Cheng Chen, "Towards More General Video-based Deepfake Detection through Facial Feature Guided Adaptation for Foundation Model," IEEE/CVF Computer Vision and Pattern Recognition (CVPR), June 2025.
Conference Papers|Jingcheng Ke, Jun-Cheng Chen, I-Hong Jhuo, Chia-Wen Lin, Yen-Yu Lin, "Generation and Comprehension Hand-in-Hand: Vision-guided Expression Diffusion for Boosting Referring Expression Generation and Comprehension," International Conference on Learning Representations (ICLR), April 2025.
Conference Papers|Po-Hung Yeh, Kuang-Huei Lee, Jun-Cheng Chen, "Training-Free Diffusion Model Alignment with Sampling Demons," International Conference on Learning Representations (ICLR), April 2025.
Conference Papers|ChunYen Shih, Li-Xuan Peng, Jia-Wei Liao, Ernie Chu, Cheng-Fu Chou, Jun-Cheng Chen, "Pixel Is Not A Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion Models," AAAI Conference on Artificial Intelligence, February 2025.
Conference Papers|Jia-Wei Liao, Winston Wang, Tzu-Sian Wang, Li-Xuan Peng, Ju-Hsuan Weng, Cheng-Fu Chou, Jun-Cheng Chen, "DiffQRCoder: Diffusion-based Aesthetic QR Code Generation with Scanning Robustness Guided Iterative Refinement," IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), February 2025.
Conference Papers|Tsung-Han Chou, Brian Wang, Wei-Chen Chiu, Jun-Cheng Chen, "A Recipe for CAC: Mosaic-based Generalized Loss for Improved Class-Agnostic Counting," Asian Conference on Computer Vision (ACCV), December 2024.
Conference Papers|Tai-Ming Huang, Yue-Hua Han, Ernie Chu, Shu-Tzu Lo, Kai-Lung Hua, and Jun-Cheng Chen, "Generalized Image-based Deepfake Detection through Foundation Model Adaptation," International Conference on Pattern Recognition (ICPR), December 2024.
Conference Papers|Dai-Jie Wu, Pin-Yen Chiu, Chih-Yu Wang, Jun-Cheng Chen, "Towards Validating Face Editing Ability in Generative Models," IEEE International Conference on Visual Communications and Image Processing (VCIP), December 2024.
Conference Papers|I-Sheng Fang, Yue-Hua Han, Jun-Cheng Chen, "Camera Settings as Tokens: Modeling Photography on Latent Diffusion Models," Siggraph Asia, December 2024.
Conference Papers|Yu-Chen Lin, Wei-Hua Li, Jun-Cheng Chen, Chu-Song Chen, "ACCEPT: Adaptive Codebook for Composite and Efficient Prompt Tuning," Findings of Conference on Empirical Methods in Natural Language Processing (EMNLP Findings), November 2024.
Conference Papers|Chia-Wei Chen, Jen-Cheng Hou, Yu Tsao, Jun-Cheng Chen, Shao-Yi Chien, "DAVSE: A Diffusion-Based Generative Approach for Audio-Visual Speech Enhancement," Interspeech Workshop - 3rd COG-MHEAR Audio-Visual Speech Enhancement Challenge (AVSEC-3), September 2024.
Conference Papers|Yi-Cheng Huang, Wei-Hua Li, Chih-Han Tsou, Jun-Cheng Chen, Chu-Song Chen, "UP-NAS: Unified Proxy for Neural Architecture Search," IEEE/CVF Computer Vision and Pattern Recognition Workshop (CVPRW), June 2024.
Conference Papers|Tzuhsuan Huang, Chen-Che Huang, Chung-Hao Ku, Jun-Cheng Chen, "BLENDA: Domain Adaptive Object Detection through Diffusion-based Blending," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), April 2024.
Conference Papers|Ernie Chu, Tzuhsuan Huang, Shuo-Yen Lin, Jun-Cheng Chen, "MeDM: Mediating Image Diffusion Models for Video-to-Video Translation with Temporal Correspondence Guidance," AAAI Conference on Artificial Intelligence (AAAI), February 2024.
Conference Papers|Sarwar Khan, Jun-Cheng Chen, Wen-Hung Liao, Chu-Song Chen, "Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning," International Multimedia Modelling Conference (MMM), January 2024.
Conference Papers|Po-Han Huang, Yue-Hua Han, Ernie Chu, Jun-Cheng Chen, Kai-Lung Hua, "Multi-Task Self-Blended Images for Face Forgery Detection," ACM Multimedia Asia, December 2023.
Conference Papers|Po-Hung Yeh, Pei-Yuan Wu, Jun-Cheng Chen, "Improved Photometric Stereo through Efficient and Differentiable Shadow Estimation," British Machine Vision Conference (BMVC), November 2023.
Conference Papers|Chiao-Chang Chang, Bo-Cheng Yang, Yi-Ting Liu, Jun-Cheng Chen, I-Hong Jhuo, Yen-Yu Lin, "Task-Adaptive Feature Matching Loss for Image Deblurring," IEEE International Conference on Image Processing, October 2023.
Conference Papers|Chia-Yi Lin, Jun-Cheng Chen, and Ja-Ling Wu, "Enhancing Real-Time Semantic Segmentation with Textual Knowledge of Pre-Trained Vision-Language Model: A Lightweight Approach," Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), October 2023.
Conference Papers|ChangSung Sung, Jun-Cheng Chen, Chu-Song Chen, "Hearing and Seeing Abnormality: Self-supervised Audio-Visual Mutual Learning for Deepfake Detection," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), June 2023.
Conference Papers|Li-Chen Cheng, Shu-Chuan Hsu, Pin-Hua Lee, Hsiu-Chieh Lee, Che-Hsien Lin, Jun-Cheng Chen, Chih-Yu Wang, "KinStyle: A Strong Baseline Photorealistic Kinship Face Synthesis with An Optimized StyleGAN Encoder," Asian Conference on Computer Vision (ACCV), December 2022.
Conference Papers|Shuo-Yen Lin, Jun-Cheng Chen, Jia-Ching Wang, "A Comparative Study of Cross-Model Universal Adversarial Perturbation for Face Forgery," IEEE International Conference on Visual Communications and Image Processing (VCIP), December 2022.
Conference Papers|Chieh-Yin Liao, Chen-Hsiu Huang, Jun-Cheng Chen, Ja-Ling Wu, "Enhancing the Robustness of Deep Learning Based Fingerprinting to Improve Deepfake Attribution," ACM Multimedia Asia conference (MMAsia), December 2022.
Conference Papers|Jia Wang, Hung-Yi Wu, Jun-Cheng Chen, Hong-Han Shuai, Wen-Huang Cheng, "Residual Graph Attention Network and Expression-Respect Data Augmentation Aided Visual Grounding," IEEE International Conference on Image Processing (ICIP), October 2022.
Conference Papers|Tom Liao, Jun-Cheng Chen, Shyh-Kang Jeng, Chunhwei Tai, "Cross-Domain Knowledge Transfer for Skeleton-based Action Recognition based on Graph Convolutional Gradient Reversal Layer," IEEE International Conference on Multimedia Information Processing and Retrieval (MIPR), August 2022.
Conference Papers|Hsiu-Chieh Lee, Che-Hsien Lin, Li-Chen Cheng, Shu-Chuan Hsu, Jun-Cheng Chen, Chih-Yu Wang, "Kinship Face Synthesis Evaluation Website with Gamified Mechanism," IEEE International Conference on Multimedia and Expo (ICME), July 2022.
Conference Papers|Timmy S. T. Wan, Jun-Cheng Chen, Tzer-Yi Wu, Chu-Song Chen, "Continual Learning for Visual Search with Backward Consistent Feature Embedding," IEEE/CVF International Conference on Computer Vision and Pattern Recognition (CVPR), June 2022.
Conference Papers|Hsuan-An Hsia, Che-Hsien Lin, Bo-Han Kung, Jhao-Ting Chen, Daniel Stanley Tan, Jun-Cheng Chen, Kai-Lung Hua, "CLIPCAM: A Simple Baseline for Zero-shot Text-guided Object and Action Localization," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), May 2022.
Conference Papers|Anshul Shah, Shlok Mishra, Ankan Bansal, Jun-Cheng Chen, Rama Chellappa, Abhinav Shrivastava, "Pose and Joint-Aware Action Recognition," Winter Conference on Applications of Computer Vision (WACV), January 2022.
Conference Papers|Che-Hsien Lin, Hung-Chun Chen, Li-Chen Cheng, Shu-Chuan Hsu, Jun-Cheng Chen, Chih-Yu Wang, "StyleDNA: A High-Fidelity Age and Gender Aware Kinship Face Synthesizer," IEEE International Conference on Automatic Face and Gesture Recognition (FG), December 2021.
Conference Papers|Yu-Chih-Tuan Hu, Bo-Han Kung, Daniel Stanley Tan, Jun-Cheng Chen, Kai-Lung Hua, Wen-Huang Cheng, "Naturalistic Physical Adversarial Patch for Object Detectors," IEEE/CVF International Conference on Computer Vision (ICCV), October 2021.
Conference Papers|Bo-Han Kung, Pin-Chun Chen, Yu-Cheng Liu, Jun-Cheng Chen, "Squeeze and Reconstruct: Improved Practical Adversarial Defense using Paired Image Compression and Reconstruction," IEEE International Conference on Image Processing, September 2021.
Conference Papers|Yi-Lun Pan, Jun-Cheng Chen, Ja-Ling Wu, "A Multi-factor Combinations Enhanced Reversible Privacy Protection System for Facial Images," IEEE International Conference on Multimedia & Expo (ICME), July 2021.
Conference Papers|Ching-Hao Wang, Kang-Yang Huang, Jun-Cheng Chen, Hong-Han Shuai, and Wen-Huang Cheng, "Heterogeneous Federated Learning through Multi-branch Network," IEEE International Conference on Multimedia & Expo (ICME), July 2021.
Conference Papers|Chih-Ting Liu, Jun-Cheng Chen, Chu-Song Chen, Shao-Yi Chien, "Video-based Person Re-identification without Bells and Whistles," CVPR Biometrics Workshop, June 2021.
Conference Papers|Pin-Chun Chen, Bo-Han Kung, Jun-Cheng Chen, "Class-Aware Robust Adversarial Training for Object Detection," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.
Conference Papers|Yu-Cheng Liu, Chia-Ming Chang, I-Hsuan Chen, Yu-Ru Ku, Jun-Cheng Chen, "An Experimental Evaluation of Recent Face Recognition Losses for Deepfake Detection," IEEE International Conference on Pattern Recognition (ICPR), January 2021.
Conference Papers|Chon Hou Sio, Yu-Jen Ma, Hong-Han Shuai, Jun-Cheng Chen, Wen-Huang Cheng, "S^2SiamFC: Self-supervised Fully Convolutional Siamese Network for Visual Tracking," ACM Multimedia (MM), October 2020.
Conference Papers|Pirazh Khorramshahi, Neehar Peri, Jun-Cheng Chen, Rama Chellappa, "The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification," European Conference on Computer Vision (ECCV), August 2020.
Conference Papers|Neehar Peri, Pirazh Khorramshahi, Sai Saketh Rambhatla, Vineet Shenoy, Saumya Rawat, Jun-Cheng Chen and Rama Chellappa, "Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection," 4th AI City Challenge Workshop, under CVPR, June 2020.
Conference Papers|Chang-Ti Huang, Jun-Cheng Chen, Ja-Ling Wu, "Learning Sparse Neural Networks Through Mixture-Distributed Regularization," Workshop on Efficient Deep Learning for Computer Vision, under CVPR, June 2020.
Conference Papers|Tsung-Hung Hsieh, Jun-Cheng Chen, Chu-Song Chen, "Label Reuse for Efficient Semi-supervised Learning," International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020.
Conference Papers|Cheng-Yu Fan, Chao-Peng Liu, Kuan-Chun Wang, Jiun-Hao Jhan, Yu-Chiang Frank Wang, Jun-Cheng Chen, "Face Feature Recovery via Temporal Fusion for Person Search," International Conference on Acoustics, Speech, and Signal Processing (ICASSP), May 2020.
Conference Papers|Joshua Gleason, Steven Schwarcz, Rajeev Ranjan, Carlos Castillo, Jun-Cheng Chen, Rama Chellappa, "Activity Detection in Untrimmed Videos Using Chunk-based Classifiers," HADCV Workshop under WACV, March 2020.
Conference Papers|Jingxiao Zheng, Ruichi Yu, Jun-Cheng Chen, Boyu Lu, Carlos Castillo, Rama Chellappa, "Uncertainty Modeling of Contextual-Connection between Tracklets for Unconstrained Video-based Face Recognition," International Conference in Computer Vision (ICCV), October 2019.
Conference Papers|Pirazh Khorramshahi, Amit Kumar, Neehar Peri, Sai Saketh Rambhatla, Jun-Cheng Chen, Rama Chellappa, "A Dual Path Model With Adaptive Attention For Vehicle Re-Identification," International Conference in Computer Vision (ICCV), October 2019, oral.
Conference Papers|Jingxiao Zheng, Jun-Cheng Chen, Vishal Patel, Carlos Castillo, Rama Chellappa, "Hybrid Dictionary Learning and Matching for Video-based Face Verification," IEEE International Conference on Biometrics: Theory, Applications and Systems, September 2019.
Conference Papers|Boyu Lu, Jun-Cheng Chen, Rama Chellappa, "Unsupervised Domain-Specific Deblurring via Disentangled Representations," IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.
Conference Papers|Joshua Gleason, Rajeev Ranjan, Steven Schwarcz, Carlos Castillo, Jun-Cheng Chen, Rama Chellappa, "A Proposal-Based Solution to Spatio-Temporal Action Detection in Untrimmed Videos," IEEE Winter Conference on Applications of Computer Vision (WACV), January 2019.
Conference Papers|Jun-Cheng Chen, Wei-An Lin, Jingxiao Zheng, Rama Chellappa, "A Real-Time Multi-Task Single Shot Face Detector," IEEE International Conference on Image Processing (ICIP), October 2018.
Conference Papers|Amit Kumar, Pirazh Khorramshahi, Wei-An Lin, Prithviraj Dhar, Jun-Cheng Chen, Rama Chellappa, "A Semi-Automatic 2D Solution for Vehicle Speed Estimation from Monocular Videos," IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), June 2018.
Conference Papers|Wei-An Lin, Jun-Cheng Chen, Carlos D Castillo, Rama Chellappa, "Deep Density Clustering of Unconstrained Faces," IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2018.
Conference Papers|Connor J Parde, Carlos Castillo, Matthew Q Hill, Y Ivette Colon, Swami Sankaranarayanan, Jun-Cheng Chen, Alice J O'Toole, "Face and Image Representation in Deep CNN Features," IEEE International Conference on Automatic Face & Gesture Recognition (FG), May 2017.
Conference Papers|Ching-Hui Chen, Jun-Cheng Chen, Carlos D Castillo, Rama Chellappa, "Video-based Face Association and Identification," IEEE International Conference on Automatic Face & Gesture Recognition (FG), May 2017.
Conference Papers|Wei-An Lin, Jun-Cheng Chen, Rama Chellappa, "A Proximity-Aware Hierarchical Clustering of Faces," IEEE International Conference on Automatic Face & Gesture Recognition (FG), May 2017.
Conference Papers|Boyu Lu, Jingxiao Zheng, Jun-Cheng Chen, Rama Chellappa, "Pose-Robust Face Verification by Exploiting Competing Tasks," IEEE Winter Conference on Applications of Computer Vision (WACV), March 2017.
Conference Papers|Navaneeth Bodla, Jingxiao Zheng, Hongyu Xu, Jun-Cheng Chen, Carlos Castillo, Rama Chellappa, "Deep Heterogeneous Feature Fusion for Template-based Face Recognition," IEEE Winter Conference on Applications of Computer Vision (WACV), March 2017.
Conference Papers|Boyu Lu, Jun-Cheng Chen, Rama Chellappa, "Regularized Metric Adaptation for Unconstrained Face Verification," International Conference on Pattern Recognition (ICPR), December 2016.
Conference Papers|Jingxiao Zheng, Jun-Cheng Chen, Navaneeth Bodla, Vishal M Patel, Rama Chellappa, "Vlad Encoded Deep Convolutional Features for Unconstrained Face Verification," International Conference on Pattern Recognition (ICPR), December 2016.
Conference Papers|Jun-Cheng Chen, Amit Kumar, Rajeev Ranjan, Vishal M Patel, Azadeh Alavi, Rama Chellappa, "A Cascaded Convolutional Neural Network for Age Estimation of Unconstrained Faces," IEEE International Conference on Biometrics Theory, Applications and Systems (BTAS), September 2016.
Conference Papers|Jun-Cheng Chen, Jingxiao Zheng, Vishal M Patel, Rama Chellappa, "Fisher Vector Encoded Deep Convolutional Features for Unconstrained Face Verification," IEEE International Conference on Image Processing (ICIP), September 2016.
Conference Papers|Jun-Cheng Chen, Vishal M Patel, Rama Chellappa, "Unconstrained Face Verification using Deep Cnn Features," IEEE Winter Conference on Applications of Computer Vision (WACV), March 2016.
Conference Papers|Soumyadip Sengupta, Jun-Cheng Chen, Carlos Castillo, Vishal M Patel, Rama Chellappa, David W Jacobs, "Frontal to Profile Face Verification in the Wild," IEEE Winter Conference on Applications of Computer Vision (WACV), March 2016.
Conference Papers|Rama Chellappa, Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Vishal M Patel, Carlos D Castillo, "Towards the Design of an end-to-end automated system for image and video-based recognition," Information Theory and Applications Workshop (ITA), January 2016.
Conference Papers|Rajeev Ranjan, Sabrina Zhou, Jun Cheng Chen, Amit Kumar, Azadeh Alavi, Vishal M Patel, Rama Chellappa, "Unconstrained Age Estimation with Deep Convolutional Neural Networks," IEEE International Conference on Computer Vision Workshops, December 2015.
Conference Papers|Jun-Cheng Chen, Rajeev Ranjan, Amit Kumar, Ching-Hui Chen, Vishal M Patel, Rama Chellappa, "An End-to-End System for Unconstrained Face Verification with Deep Convolutional Neural Networks," IEEE International Conference on Computer Vision Workshops, December 2015.
Conference Papers|Jun-Cheng Chen, Vishal M Patel, Rama Chellappa, "Landmark-based Fisher Vector Representation for Video-based Face Verification," IEEE International Conference on Image Processing (ICIP), September 2015.
Conference Papers|Jun-Cheng Chen, Swami Sankaranarayanan, Vishal M Patel, Rama Chellappa, "Unconstrained Face Verification using Fisher Vectors Computed from Frontalized Faces," IEEE International Conference on Biometrics Theory, Applications and Systems (BTAS), September 2015.
Conference Papers|Jun-Cheng Chen, Vishal M Patel, Huy Tho Ho, Rama Chellappa, "Dictionary-based Video Face Recognition using Dense Multi-scale Facial Landmark Features," IEEE International Conference on Image Processing (ICIP), October 2014.
Conference Papers|Chia-Wei Wang, Wen-Huang Cheng, Jun-Cheng Chen, Shu-Sian Yang, Ja-Ling Wu, "Film Narrative Exploration through The Analysis of Aesthetic Elements," International Conference on Multimedia Modeling, January 2007.
Conference Papers|Jun-Cheng Chen, Wei-Ta Chu, Jin-Hau Kuo, Chung-Yi Weng, Ja-Ling Wu, "Audiovisual Slideshow: Present Your Journey by Photos," ACM International Conference on Multimedia, October 2006.
Conference Papers|Jun-Cheng Chen, Wei-Ta Chu, Jin-Hau Kuo, Chung-Yi Weng, Ja-Ling Wu, "Tiling Slideshow," ACM International Conference on Multimedia, October 2006.
Conference Papers|Yi-Chin Huang, Yi-Shin Tung, Jun-Cheng Chen, Sung-Wen Wang, Ja-Ling Wu, "An Adaptive Edge Detection based Colorization Algorithm and Its Applications," ACM international conference on Multimedia, November 2005.
Conference Papers|Jun-Cheng Chen, Jen-Hao Yeh, Wei-Ta Chu, Jin-Hau Kuo, Ja-Ling Wu, "Improvement of Commercial Boundary Detection using Audiovisual Features," Pacific-Rim Conference on Multimedia (PCM), November 2005.
Conference Papers|Chia-Hao Chang, Chi-Hao Wu, Jun-Cheng Chen, Jin-Hau Kuo and Ja-Ling Wu, "A Real-time Semi-Automatic Video Segmentation System Based on Mathematical Morphology," International Conference on Visual Communications and Image Processing (VCIP), July 2005.
Conference Papers|Jen-Hao Yeh, Jun-Cheng Chen, Jin-Hau Kuo, Ja-Ling Wu, "TV Commercial Detection in News Program Videos," IEEE International Symposium on Circuits and Systems, May 2005.
Conference Papers|Chia-Wei Lin, Ja-Ling Wu, Jun-Cheng Chen, "An Algorithm for Construction of Error-Correcting Symmetrical Reversible Variable Length Codes," International Conference on Advances in Mobile Multimedia, September 2004.
Book & Book Chapters|Jun-Cheng Chen, Rajeev Ranjan, Vishal M Patel, Carlos D Castillo, Rama Chellappa, "Unconstrained Face Identification and Verification Using Deep Convolutional Features," Deep Learning in Biometrics, pages 33-64, CRC Press, March 2018.