Chen Huang

69 papers A* 19A 2B 1C 1Journal 38Unranked 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
How PARTs assemble into wholes: Learning the relative composition of images.
CoRR
Melika Ayoughi, Samira Abnar, Chen Huang, Christopher Michael Sandino, Sayeri Lala, Eeshan Gunesh Dhekane, Dan Busbridge, Shuangfei Zhai, Vimal Thilak, Joshua M. Susskind, Pascal Mettes, Paul Groth, Hanlin Goh
2025 A* conf
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting.
ICML
Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025 J jnl
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting.
CoRR
Chen Huang, Skyler Seto, Hadi Pouransari, Mehrdad Farajtabar, Raviteja Vemulapalli, Fartash Faghri, Oncel Tuzel, Barry-John Theobald, Joshua M. Susskind
2025 J jnl
Rethinking JEPA: Compute-Efficient Video SSL with Frozen Teachers.
CoRR
Xianhang Li, Chen Huang, Chun-Liang Li, Eran Malach, Josh M. Susskind, Vimal Thilak, Etai Littwin
2024 A* conf
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP.
NeurIPS
Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Joshua M. Susskind
2024 J jnl
Aggregate-and-Adapt Natural Language Prompts for Downstream Generalization of CLIP.
CoRR
Chen Huang, Skyler Seto, Samira Abnar, David Grangier, Navdeep Jaitly, Josh M. Susskind
2024 A* conf
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks.
NeurIPS
Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua M. Susskind
2024 J jnl
How JEPA Avoids Noisy Features: The Implicit Bias of Deep Linear Self Distillation Networks.
CoRR
Etai Littwin, Omid Saremi, Madhu Advani, Vimal Thilak, Preetum Nakkiran, Chen Huang, Joshua M. Susskind
2024 A* conf
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures.
ICLR
Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2024 — conf
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization.
EMNLP (Findings)
Yong Lin, Skyler Seto, Maartje ter Hoeve, Katherine Metcalf, Barry-John Theobald, Xuan Wang, Yizhe Zhang, Chen Huang, Tong Zhang
2024 J jnl
On the Limited Generalization Capability of the Implicit Reward Model Induced by Direct Preference Optimization.
CoRR
Yong Lin, Skyler Seto, Maartje ter Hoeve, Katherine Metcalf, Barry-John Theobald, Xuan Wang, Yizhe Zhang, Chen Huang, Tong Zhang
2024 A* conf
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization.
ICLR
Yuhang Zang, Hanlin Goh, Joshua M. Susskind, Chen Huang
2024 J jnl
Overcoming the Pitfalls of Vision-Language Model Finetuning for OOD Generalization.
CoRR
Yuhang Zang, Hanlin Goh, Josh M. Susskind, Chen Huang
2023 J jnl
Adaptivity and Modularity for Efficient Generalization Over Task Complexity.
CoRR
Samira Abnar, Omid Saremi, Laurent Dinh, Shantel Wilson, Miguel Ángel Bautista, Chen Huang, Vimal Thilak, Etai Littwin, Jiatao Gu, Josh M. Susskind, Samy Bengio
2023 A* conf
DUET: 2D Structured and Approximately Equivariant Representations.
ICML
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023 J jnl
DUET: 2D Structured and Approximately Equivariant Representations.
CoRR
Xavier Suau, Federico Danieli, T. Anderson Keller, Arno Blaas, Chen Huang, Jason Ramapuram, Dan Busbridge, Luca Zappella
2023 J jnl
LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures.
CoRR
Vimal Thilak, Chen Huang, Omid Saremi, Laurent Dinh, Hanlin Goh, Preetum Nakkiran, Joshua M. Susskind, Etai Littwin
2023 A* conf
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors.
ICLR
Chen Huang, Hanlin Goh, Jiatao Gu, Joshua M. Susskind
2023 J jnl
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors.
CoRR
Chen Huang, Hanlin Goh, Jiatao Gu, Josh M. Susskind
2023 J jnl
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch.
CoRR
Yuhang Zang, Kaiyang Zhou, Chen Huang, Chen Change Loy
2023 J jnl
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch.
Int. J. Comput. Vis.
Yuhang Zang, Kaiyang Zhou, Chen Huang, Chen Change Loy
2022 A* conf
Efficient Representation Learning via Adaptive Context Pooling.
ICML
Chen Huang, Walter Talbott, Navdeep Jaitly, Joshua M. Susskind
2022 J jnl
Efficient Representation Learning via Adaptive Context Pooling.
CoRR
Chen Huang, Walter Talbott, Navdeep Jaitly, Josh M. Susskind
2022 — conf
Open-Vocabulary DETR with Conditional Matching.
ECCV (9)
Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
2022 J jnl
Open-Vocabulary DETR with Conditional Matching.
CoRR
Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
2022 A* conf
Position Prediction as an Effective Pretraining Strategy.
ICML
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Y. Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022 J jnl
Position Prediction as an Effective Pretraining Strategy.
CoRR
Shuangfei Zhai, Navdeep Jaitly, Jason Ramapuram, Dan Busbridge, Tatiana Likhomanenko, Joseph Yitan Cheng, Walter Talbott, Chen Huang, Hanlin Goh, Joshua M. Susskind
2022 J jnl
Unified Vision and Language Prompt Learning.
CoRR
Yuhang Zang, Wei Li, Kaiyang Zhou, Chen Huang, Chen Change Loy
2021 J jnl
An Attention Free Transformer.
CoRR
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
2021 A* conf
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation.
ICCV
Yuhang Zang, Chen Huang, Chen Change Loy
2021 J jnl
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation.
CoRR
Yuhang Zang, Chen Huang, Chen Change Loy
2021 J jnl
Mask-aware photorealistic facial attribute manipulation.
Comput. Vis. Media
Ruoqi Sun, Chen Huang, Hengliang Zhu, Lizhuang Ma
2021 A* conf
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics.
CVPR
Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
2021 J jnl
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics.
CoRR
Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind
2020 J jnl
Deep Imbalanced Learning for Face Recognition and Attribute Prediction.
IEEE Trans. Pattern Anal. Mach. Intell.
Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang
2019 A* conf
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment.
ICML
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
2019 J jnl
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment.
CoRR
Chen Huang, Shuangfei Zhai, Walter Talbott, Miguel Ángel Bautista, Shih-Yu Sun, Carlos Guestrin, Joshua M. Susskind
2019 A* conf
Dense Intrinsic Appearance Flow for Human Pose Transfer.
CVPR
Yining Li, Chen Huang, Chen Change Loy
2019 J jnl
Dense Intrinsic Appearance Flow for Human Pose Transfer.
CoRR
Yining Li, Chen Huang, Chen Change Loy
2019 A* conf
Not All Areas Are Equal: Transfer Learning for Semantic Segmentation via Hierarchical Region Selection.
CVPR
Ruoqi Sun, Xinge Zhu, Chongruo Wu, Chen Huang, Jianping Shi, Lizhuang Ma
2018 J jnl
Deep Imbalanced Learning for Face Recognition and Attribute Prediction.
CoRR
Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang
2018 J jnl
Discriminative Sparse Neighbor Approximation for Imbalanced Learning.
IEEE Trans. Neural Networks Learn. Syst.
Chen Huang, Chen Change Loy, Xiaoou Tang
2018 A conf
Ensemble Knowledge Transfer for Semantic Segmentation.
WACV
Ishan Nigam, Chen Huang, Deva Ramanan
2018 J jnl
Mask-aware Photorealistic Face Attribute Manipulation.
CoRR
Ruoqi Sun, Chen Huang, Jianping Shi, Lizhuang Ma
2018 — conf
Pose Guided Human Video Generation.
ECCV (10)
Ceyuan Yang, Zhe Wang, Xinge Zhu, Chen Huang, Jianping Shi, Dahua Lin
2018 J jnl
Pose Guided Human Video Generation.
CoRR
Ceyuan Yang, Zhe Wang, Xinge Zhu, Chen Huang, Jianping Shi, Dahua Lin
2017 J jnl
An Human-Computer Interactive Augmented Reality System for Coronary Artery Diagnosis Planning and Training.
J. Medical Syst.
Qiming Li, Chen Huang, Shengqing Lv, Zeyu Li, Yimin Chen, Lizhuang Ma
2017 J jnl
CNNs are Globally Optimal Given Multi-Layer Support.
CoRR
Chen Huang, Chen Kong, Simon Lucey
2017 C conf
HCI Based on Gesture Recognition in an Augmented Reality System for Diagnosis Planning and Training.
ICIS
Qiming Li, Chen Huang, Zeyu Li, Yimin Chen, Lizhuang Ma
2017 A* conf
Learning Policies for Adaptive Tracking with Deep Feature Cascades.
ICCV
Chen Huang, Simon Lucey, Deva Ramanan
2017 J jnl
Learning Policies for Adaptive Tracking with Deep Feature Cascades.
CoRR
Chen Huang, Simon Lucey, Deva Ramanan
2017 A* conf
Learning to Disambiguate by Asking Discriminative Questions.
ICCV
Yining Li, Chen Huang, Xiaoou Tang, Chen Change Loy
2017 J jnl
Learning to Disambiguate by Asking Discriminative Questions.
CoRR
Yining Li, Chen Huang, Xiaoou Tang, Chen Change Loy
2017 A* conf
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking.
ICCV
Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey
2017 J jnl
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking.
CoRR
Hamed Kiani Galoogahi, Ashton Fagg, Chen Huang, Deva Ramanan, Simon Lucey
2016 J jnl
Discriminative Sparse Neighbor Approximation for Imbalanced Learning.
CoRR
Chen Huang, Chen Change Loy, Xiaoou Tang
2016 — conf
Human Attribute Recognition by Deep Hierarchical Contexts.
ECCV (6)
Yining Li, Chen Huang, Chen Change Loy, Xiaoou Tang
2016 A* conf
Learning Deep Representation for Imbalanced Classification.
CVPR
Chen Huang, Yining Li, Chen Change Loy, Xiaoou Tang
2016 — conf
Local Similarity-Aware Deep Feature Embedding.
NIPS
Chen Huang, Chen Change Loy, Xiaoou Tang
2016 J jnl
Local Similarity-Aware Deep Feature Embedding.
CoRR
Chen Huang, Chen Change Loy, Xiaoou Tang
2016 A* conf
Unsupervised Learning of Discriminative Attributes and Visual Representations.
CVPR
Chen Huang, Chen Change Loy, Xiaoou Tang
2015 — conf
Deeply Learned Rich Coding for Cross-Dataset Facial Age Estimation.
ICCV Workshops
Zhanghui Kuang, Chen Huang, Wei Zhang
2014 J jnl
Generalized joint kernel regression and adaptive dictionary learning for single-image super-resolution.
Signal Process.
Chen Huang, Yicong Liang, Xiaoqing Ding, Chi Fang
2014 J jnl
Robust Image Restoration via Adaptive Low-Rank Approximation and Joint Kernel Regression.
IEEE Trans. Image Process.
Chen Huang, Xiaoqing Ding, Chi Fang, Di Wen
2013 A conf
Single-Image Super-Resolution via Adaptive Joint Kernel Regression.
BMVC
Chen Huang, Xiaoqing Ding, Chi Fang
2012 J jnl
Pose robust face tracking by combining view-based AAMs and temporal filters.
Comput. Vis. Image Underst.
Chen Huang, Xiaoqing Ding, Chi Fang
2012 — conf
Robust 3D human face reconstruction by consumer binocular-stereo cameras.
VRCAI
Chen Huang, Wei Hu, Yiming Zhang
2010 — conf
A word language model based contextual language processing on Chinese character recognition.
DRR
Chen Huang, Xiaoqing Ding, Yan Chen
2010 B conf
Head Pose Estimation Based on Random Forests for Multiclass Classification.
ICPR
Chen Huang, Xiaoqing Ding, Chi Fang