Kernel based articulated object tracking with scale adaptation and model update. - Anbang Yao; Guijin Wang; Xinggang Lin; Hao Wang (ICASSP, 2008)

Hand posture recognition in video using multiple cues. - Liang Sha; Guijin Wang; Anbang Yao; Xinggang Lin; Xiujuan Chai (ICME, 2009)

Measuring Particles in Joint Feature-Spatial Space. - Liang Sha; Guijin Wang; Anbang Yao; Xinggang Lin (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2009)

Facial expression recognition using joint multi-resolution multi-area ULBP representation. - Xiaoyan Dang; Anbang Yao; Wei Wang; Ya Zhang; Zhihua Wang; Zhuo Wang (ICDIP, 2010)

Improved Kernel based Tracking for Fast Moving Object. - Xiaoyan Dang; Anbang Yao; Wei Wang; Ya Zhang; Zhuo Wang; Zhihua Wang (VISAPP (1), 2010)

An incremental Bhattacharyya dissimilarity measure for particle filtering. - Anbang Yao; Guijin Wang; Xinggang Lin; Xiujuan Chai (Pattern Recognit., 2010)

Spatial Feature Interdependence Matrix (SFIM): A Robust Descriptor for Face Recognition. - Anbang Yao; Shan Yu (PSIVT (1), 2011)

A compact association of particle filtering and kernel based object tracking. - Anbang Yao; Xinggang Lin; Guijin Wang; Shan Yu (Pattern Recognit., 2012)

Robust Face Representation Using Hybrid Spatial Feature Interdependence Matrix. - Anbang Yao; Shan Yu (IEEE Trans. Image Process., 2013)

Capturing AU-Aware Facial Features and Their Latent Relations for Emotion Recognition in the Wild. - Anbang Yao; Junchao Shao; Ningning Ma; Yurong Chen 001 (ICMI, 2015)

HyperNet: Towards Accurate Region Proposal Generation and Joint Object Detection. - Tao Kong; Anbang Yao; Yurong Chen 001; Fuchun Sun 001 (CVPR, 2016)

HoloNet: towards robust emotion recognition in the wild. - Anbang Yao; Dongqi Cai; Ping Hu; Shandong Wang; Liang Sha; Yurong Chen 001 (ICMI, 2016)

Dynamic Network Surgery for Efficient DNNs. - Yiwen Guo; Anbang Yao; Yurong Chen 001 (NIPS, 2016)

Network Sketching: Exploiting Binary Structure in Deep CNNs. - Yiwen Guo; Anbang Yao; Hao Zhao 002; Yurong Chen 001 (CVPR, 2017)

RON: Reverse Connection with Objectness Prior Networks for Object Detection. - Tao Kong; Fuchun Sun 001; Anbang Yao; Huaping Liu 001; Ming Lu; Yurong Chen 001 (CVPR, 2017)

Physics Inspired Optimization on Semantic Transfer Features: An Alternative Method for Room Layout Estimation. - Hao Zhao 002; Ming Lu; Anbang Yao; Yiwen Guo; Yurong Chen 001; Li Zhang 023 (CVPR, 2017)

Decoder Network over Lightweight Reconstructed Feature for Fast Semantic Style Transfer. - Ming Lu; Hao Zhao 002; Anbang Yao; Feng Xu 005; Yurong Chen 001; Li Zhang 023 (ICCV, 2017)

Incremental Network Quantization: Towards Lossless CNNs with Low-precision Weights. - Aojun Zhou; Anbang Yao; Yiwen Guo; Lin Xu; Yurong Chen 001 (ICLR (Poster), 2017)

Learning supervised scoring ensemble for emotion recognition in the wild. - Ping Hu; Dongqi Cai; Shandong Wang; Anbang Yao; Yurong Chen 001 (ICMI, 2017)

Explicit Loss-Error-Aware Quantization for Low-Bit Deep Neural Networks. - Aojun Zhou; Anbang Yao; Kuan Wang; Yurong Chen 001 (CVPR, 2018)

Efficient Semantic Scene Completion Network with Spatial Group Convolution. - Jiahui Zhang; Hao Zhao 002; Anbang Yao; Yurong Chen 001; Li Zhang 023; Hongen Liao (ECCV (12), 2018)

Exemplar-Based Portrait Style Transfer. - Ming Lu; Feng Xu 005; Hao Zhao 002; Anbang Yao; Yurong Chen 001; Li Zhang 023 (IEEE Access, 2018)

Deeply-Supervised Knowledge Synergy. - Dawei Sun; Anbang Yao; Aojun Zhou; Hao Zhao 002 (CVPR, 2019)

HBONet: Harmonious Bottleneck on Two Orthogonal Dimensions. - Duo Li; Aojun Zhou; Anbang Yao (ICCV, 2019)

A Closed-Form Solution to Universal Style Transfer. - Ming Lu; Hao Zhao 002; Anbang Yao; Yurong Chen 001; Feng Xu 005; Li Zhang 023 (ICCV, 2019)

Learning Two-View Correspondences and Geometry Using Order-Aware Network. - Jiahui Zhang; Dawei Sun; Zixin Luo; Anbang Yao; Lei Zhou 011; Tianwei Shen; Yurong Chen 001; Hongen Liao; Long Quan (ICCV, 2019)

Explicit Residual Descent for 3D Human Pose Estimation from 2D Joint Locations. - Yangyuxuan Kang; Anbang Yao; Shandong Wang; Ming Lu; Yurong Chen 001; Enhua Wu (BMVC, 2020)

Learning to Learn Parameterized Classification Networks for Scalable Input Images. - Duo Li; Anbang Yao; Qifeng Chen (ECCV (29), 2020)

PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer. - Duo Li; Anbang Yao; Qifeng Chen (ECCV (21), 2020)

Resolution Switchable Networks for Runtime Efficient Image Recognition. - Yikai Wang 001; Fuchun Sun 001; Duo Li; Anbang Yao (ECCV (15), 2020)

Knowledge Transfer via Dense Cross-Layer Mutual-Distillation. - Anbang Yao; Dawei Sun (ECCV (15), 2020)

CASNet: Common Attribute Support Network for image instance and panoptic segmentation. - Xiaolong Liu; Yuqing Hou; Anbang Yao; Yurong Chen 001; Keqiang Li (ICPR, 2020)

Learning Deep Multimodal Feature Representation with Asymmetric Multi-layer Fusion. - Yikai Wang 001; Fuchun Sun 001; Ming Lu; Anbang Yao (ACM Multimedia, 2020)

LID 2020: The Learning from Imperfect Data Challenge Results. - Yunchao Wei; Shuai Zheng 001; Ming-Ming Cheng; Hang Zhao; Liwei Wang 001; Errui Ding; Yi Yang 001; Antonio Torralba 001; Ting Liu 012; Guolei Sun; Wenguan Wang; Luc Van Gool; et al. (CoRR, 2020)

AccSS3D: Accelerator for Spatially Sparse 3D DNNs. - Om Ji Omer; Prashant Laddha; Gurpreet S. Kalsi; Anirud Thyagharajan; Kamlesh R. Pillai; Abhimanyu Kulkarni; Anbang Yao; Yurong Chen 001; Sreenivas Subramoney (CoRR, 2020)

Pointly-supervised scene parsing with uncertainty mixture. - Hao Zhao 002; Ming Lu; Anbang Yao; Yiwen Guo; Yurong Chen 001; Li Zhang 023 (Comput. Vis. Image Underst., 2020)

Learning to Draw Sight Lines. - Hao Zhao 002; Ming Lu; Anbang Yao; Yurong Chen 001; Li Zhang 023 (Int. J. Comput. Vis., 2020)

Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks. - Yikai Wang 001; Yi Yang 001; Fuchun Sun 001; Anbang Yao (ICCV, 2021)

Dynamic Normalization and Relay for Video Action Recognition. - Dongqi Cai; Anbang Yao; Yurong Chen 001 (NeurIPS, 2021)

Efficient Meta-Tuning for Content-Aware Neural Video Delivery. - Xiaoqi Li 009; Jiaming Liu 003; Shizun Wang; Cheng Lyu; Ming Lu; Yurong Chen 001; Anbang Yao; Yandong Guo; Shanghang Zhang (ECCV (18), 2022)

Omni-Dimensional Dynamic Convolution. - Chao Li; Aojun Zhou; Anbang Yao (ICLR, 2022)

OANet: Learning Two-View Correspondences and Geometry Using Order-Aware Network. - Jiahui Zhang; Dawei Sun; Zixin Luo; Anbang Yao; Hongkai Chen; Lei Zhou 011; Tianwei Shen; Yurong Chen 001; Long Quan; Hongen Liao (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

3D Human Pose Lifting with Grid Convolution. - Yangyuxuan Kang; Yuyang Liu; Anbang Yao; Shandong Wang; Enhua Wu (AAAI, 2023)

Compacting Binary Neural Networks by Sparse Kernel Selection. - Yikai Wang 001; Wenbing Huang 001; Yinpeng Dong; Fuchun Sun 001; Anbang Yao (CVPR, 2023)

NORM: Knowledge Distillation via N-to-One Representation Matching. - Xiaolong Liu; Lujun Li 001; Chao Li; Anbang Yao (ICLR, 2023)

Ske2Grid: Skeleton-to-Grid Representation Learning for Action Recognition. - Dongqi Cai; Yangyuxuan Kang; Anbang Yao; Yurong Chen 001 (ICML, 2023)

Augmentation-free Dense Contrastive Distillation for Efficient Semantic Segmentation. - Jiawei Fan; Chao Li; Xiaolong Liu; Meina Song; Anbang Yao (NeurIPS, 2023)

KernelWarehouse: Towards Parameter-Efficient Dynamic Convolution. - Chao Li; Anbang Yao (CoRR, 2023)

Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation. - Jiawei Fan; Chao Li; Xiaolong Liu; Meina Song; Anbang Yao (CoRR, 2023)

Small Scale Data-Free Knowledge Distillation. - He Liu; Yikai Wang 001; Huaping Liu 001; Fuchun Sun 001; Anbang Yao (CVPR, 2024)

KernelWarehouse: Rethinking the Design of Dynamic Convolution. - Chao Li; Anbang Yao (ICML, 2024)

ScaleKD: Strong Vision Transformers Could Be Excellent Teachers. - Jiawei Fan; Chao Li; Xiaolong Liu; Anbang Yao (NeurIPS, 2024)

NOAH: Learning Pairwise Object Category Attentions for Image Classification. - Chao Li; Aojun Zhou; Anbang Yao (CoRR, 2024)

Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models. - Chao Li; Jiawei Fan; Anbang Yao (CoRR, 2025)