A word language model based contextual language processing on Chinese character recognition. - Chen Huang 001; Xiaoqing Ding; Yan Chen (DRR, 2010)

Head Pose Estimation Based on Random Forests for Multiclass Classification. - Chen Huang 001; Xiaoqing Ding; Chi Fang (ICPR, 2010)

Robust 3D human face reconstruction by consumer binocular-stereo cameras. - Chen Huang 001; Wei Hu; Yiming Zhang (VRCAI, 2012)

Pose robust face tracking by combining view-based AAMs and temporal filters. - Chen Huang 001; Xiaoqing Ding; Chi Fang (Comput. Vis. Image Underst., 2012)

Single-Image Super-Resolution via Adaptive Joint Kernel Regression. - Chen Huang 001; Xiaoqing Ding; Chi Fang (BMVC, 2013)

Generalized joint kernel regression and adaptive dictionary learning for single-image super-resolution. - Chen Huang 001; Yicong Liang; Xiaoqing Ding; Chi Fang (Signal Process., 2014)

Robust Image Restoration via Adaptive Low-Rank Approximation and Joint Kernel Regression. - Chen Huang 001; Xiaoqing Ding; Chi Fang; Di Wen 001 (IEEE Trans. Image Process., 2014)

Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation. - Zhanghui Kuang; Chen Huang 001; Wei Zhang 010 (ICCV Workshops, 2015)

Learning Deep Representation for Imbalanced Classification. - Chen Huang 001; Yining Li; Chen Change Loy; Xiaoou Tang (CVPR, 2016)

Unsupervised Learning of Discriminative Attributes and Visual Representations. - Chen Huang 001; Chen Change Loy; Xiaoou Tang (CVPR, 2016)

Human Attribute Recognition by Deep Hierarchical Contexts. - Yining Li; Chen Huang 001; Chen Change Loy; Xiaoou Tang (ECCV (6), 2016)

Local Similarity-Aware Deep Feature Embedding. - Chen Huang 001; Chen Change Loy; Xiaoou Tang (NIPS, 2016)

Need for Speed: A Benchmark for Higher Frame Rate Object Tracking. - Hamed Kiani Galoogahi; Ashton Fagg; Chen Huang 001; Deva Ramanan; Simon Lucey (ICCV, 2017)

Learning Policies for Adaptive Tracking with Deep Feature Cascades. - Chen Huang 001; Simon Lucey; Deva Ramanan (ICCV, 2017)

Learning to Disambiguate by Asking Discriminative Questions. - Yining Li; Chen Huang 001; Xiaoou Tang; Chen Change Loy (ICCV, 2017)

HCI Based on Gesture Recognition in an Augmented Reality System for Diagnosis Planning and Training. - Qiming Li; Chen Huang 001; Zeyu Li; Yimin Chen; Lizhuang Ma (ICIS, 2017)

CNNs are Globally Optimal Given Multi-Layer Support. - Chen Huang 001; Chen Kong; Simon Lucey (CoRR, 2017)

An Human-Computer Interactive Augmented Reality System for Coronary Artery Diagnosis Planning and Training. - Qiming Li; Chen Huang 001; Shengqing Lv; Zeyu Li; Yimin Chen; Lizhuang Ma (J. Medical Syst., 2017)

Pose Guided Human Video Generation. - Ceyuan Yang; Zhe Wang 006; Xinge Zhu; Chen Huang 001; Jianping Shi; Dahua Lin (ECCV (10), 2018)

Ensemble Knowledge Transfer for Semantic Segmentation. - Ishan Nigam; Chen Huang 001; Deva Ramanan (WACV, 2018)

Mask-aware Photorealistic Face Attribute Manipulation. - Ruoqi Sun; Chen Huang 001; Jianping Shi; Lizhuang Ma (CoRR, 2018)

Discriminative Sparse Neighbor Approximation for Imbalanced Learning. - Chen Huang 001; Chen Change Loy; Xiaoou Tang (IEEE Trans. Neural Networks Learn. Syst., 2018)

Dense Intrinsic Appearance Flow for Human Pose Transfer. - Yining Li; Chen Huang 001; Chen Change Loy (CVPR, 2019)

Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection. - Ruoqi Sun; Xinge Zhu; Chongruo Wu; Chen Huang 001; Jianping Shi; Lizhuang Ma (CVPR, 2019)

Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment. - Chen Huang 001; Shuangfei Zhai; Walter Talbott; Miguel Ángel Bautista 001; Shih-Yu Sun; Carlos Guestrin; Joshua M. Susskind (ICML, 2019)

Deep Imbalanced Learning for Face Recognition and Attribute Prediction. - Chen Huang 001; Yining Li; Chen Change Loy; Xiaoou Tang (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

MetricOpt: Learning To Optimize Black-Box Evaluation Metrics. - Chen Huang 001; Shuangfei Zhai; Pengsheng Guo; Josh M. Susskind (CVPR, 2021)

FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation. - Yuhang Zang; Chen Huang 001; Chen Change Loy (ICCV, 2021)

An Attention Free Transformer. - Shuangfei Zhai; Walter Talbott; Nitish Srivastava; Chen Huang 001; Hanlin Goh; Ruixiang Zhang; Josh M. Susskind (CoRR, 2021)

Mask-aware photorealistic facial attribute manipulation. - Ruoqi Sun; Chen Huang 001; Hengliang Zhu; Lizhuang Ma (Comput. Vis. Media, 2021)

Open-Vocabulary DETR with Conditional Matching. - Yuhang Zang; Wei Li 190; Kaiyang Zhou; Chen Huang 001; Chen Change Loy (ECCV (9), 2022)

Efficient Representation Learning via Adaptive Context Pooling. - Chen Huang 001; Walter Talbott; Navdeep Jaitly; Joshua M. Susskind (ICML, 2022)

Position Prediction as an Effective Pretraining Strategy. - Shuangfei Zhai; Navdeep Jaitly; Jason Ramapuram; Dan Busbridge; Tatiana Likhomanenko; Joseph Y. Cheng; Walter Talbott; Chen Huang 001; Hanlin Goh; Joshua M. Susskind (ICML, 2022)

Unified Vision and Language Prompt Learning. - Yuhang Zang; Wei Li 190; Kaiyang Zhou; Chen Huang 001; Chen Change Loy (CoRR, 2022)

MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors. - Chen Huang 001; Hanlin Goh; Jiatao Gu; Joshua M. Susskind (ICLR, 2023)

DUET: 2D Structured and Approximately Equivariant Representations. - Xavier Suau; Federico Danieli; T. Anderson Keller; Arno Blaas; Chen Huang 001; Jason Ramapuram; Dan Busbridge; Luca Zappella (ICML, 2023)

Adaptivity and Modularity for Efficient Generalization Over Task Complexity. - Samira Abnar; Omid Saremi; Laurent Dinh; Shantel Wilson; Miguel Ángel Bautista 001; Chen Huang 001; Vimal Thilak; Etai Littwin; Jiatao Gu; Josh M. Susskind; Samy Bengio (CoRR, 2023)

Semi-Supervised and Long-Tailed Object Detection with CascadeMatch. - Yuhang Zang; Kaiyang Zhou; Chen Huang 001; Chen Change Loy (Int. J. Comput. Vis., 2023)

LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures. - Vimal Thilak; Chen Huang 001; Omid Saremi; Laurent Dinh; Hanlin Goh; Preetum Nakkiran; Joshua M. Susskind; Etai Littwin (ICLR, 2024)

Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization. - Yuhang Zang; Hanlin Goh; Joshua M. Susskind; Chen Huang 001 (ICLR, 2024)

Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP. - Chen Huang 001; Skyler Seto; Samira Abnar; David Grangier; Navdeep Jaitly; Joshua M. Susskind (NeurIPS, 2024)

How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks. - Etai Littwin; Omid Saremi; Madhu Advani; Vimal Thilak; Preetum Nakkiran; Chen Huang 001; Joshua M. Susskind (NeurIPS, 2024)

Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting. - Chen Huang 001; Skyler Seto; Hadi Pouransari; Mehrdad Farajtabar; Raviteja Vemulapalli; Fartash Faghri; Oncel Tuzel; Barry-John Theobald; Joshua M. Susskind (CoRR, 2025)

How PARTs assemble into wholes: Learning the relative composition of images. - Melika Ayoughi; Samira Abnar; Chen Huang 001; Christopher Michael Sandino; Sayeri Lala; Eeshan Gunesh Dhekane; Dan Busbridge; Shuangfei Zhai; Vimal Thilak; Joshua M. Susskind; Pascal Mettes; Paul Groth; et al. (CoRR, 2025)