期刊论文
Mingwu Zheng, Haiyu Zhang, Hongyu Yang, Liming Chen, and Di Huang:
ImFace++: A Sophisticated Nonlinear 3D Morphable Face Model with Implicit Neural Representations.
IEEE Transactions on Pattern Analysis and Machine Intelligence. 2024
Ye Du, Zehua Fu, and Qingjie Liu:
Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic Segmentation.
IEEE Transactions on Image Processing. 2024
Jinjin Zhang, Junjie Liu, Debang Li, Qiuyu Huang, Jiaxin Chen, and Di Huang:
OTAMatch: Optimal Transport Assignment with PseudoNCE for Semi-supervised Learning.
IEEE Transactions on Image Processing. 2024
Yanan Zhang, Chao Zhou, and Di Huang:
STAL3D: Unsupervised Domain Adaptation for 3D Object Detection via Collaborating Self-Training and Adversarial Learning.
IEEE Transactions on Intelligent Vehicles. 2024
Yihui Li, Yifan Zhang, Hongyu Yang, Binghui Chen, and Di Huang:
SA3WT: Adaptive Wavelet-based Transformer with Self-paced Auto Augmentation for Face Forgery Detection.
International Journal of Computer Vision. 2024
Yajie Liu，Pu Ge，Qingjie Liu，Shichao Fan，and Yunhong Wang:
An Empirical Study on Multi-Domain Robust Semantic Segmentation.
International Journal of Computer Vision. 2024
Chenguang Liu, Guangshuai Gao, Ziyue Huang, Zhenghui Hu, Qingjie Liu, and Yunhong Wang:
YOLC: You Only Look Clusters for Tiny Object Detection in Aerial Images.
IEEE Transactions on Intelligent Transportation Systems. (Early Access) 2024
Ziyue Huang, Mingming Zhang, Yuan Gong, Qingjie Liu, and Yunhong Wang:
Generic Knowledge Boosted Pre-training For Remote Sensing Images.
IEEE Transactions on Geoscience and Remote Sensing. (Early Access) 2024
Mingming Zhang, Qingjie Liu, and Yunhong Wang:
HiT: Building Mapping with Hierarchical Transformers.
IEEE Transactions on Geoscience and Remote Sensing. (Early Access) 2024
Junfu Wang, Yuanfang Guo, Liang Yang, and Yunhong Wang:
Binary Graph Convolutional Network with Capacity Exploration.
IEEE Transactions on Pattern Analysis and Machine Intelligence. (Early Access) 2024
Jiankai Li, Yunhong Wang, and Weixin Li:
MHRN: A Multimodal Hierarchical Reasoning Network for Topic Detection.
IEEE Transactions on Multimedia. (Early Access) 2024
Zhen Yang, Yuanfang Guo, Junfu Wang, Di Huang, and Xiuguo Bao:
Towards Video Anomaly Detection in the Real World: A Binarization Embedded Weakly-Supervised Network.
IEEE Transactions on Circuits and Systems for Video Technology. (Early Access) 2023
Duoxuan Pei, Di Huang, Longteng Kong, and Yunhong Wang:
Key Role Guided Transformer for Group Activity Recognition.
IEEE Transactions on Circuits and Systems for Video Technology. (Early Access) 2023
Jiankai Li, Yunhong Wang, and Weixin Li:
Zero-shot Scene Graph Generation via Triplet Calibration and Reduction.
ACM Transactions on Multimedia Computing, Communications, and Applications. 20(1): 5:1-5:21, 2024
Sheng Liu, Annan Li, Jiahao Wang, and Yunhong Wang:
Bidirectional Maximum Entropy Training with Word Co-occurrence for Video Captioning.
IEEE Transactions on Multimedia. 25: 4494-4507, 2023
Jiaqi Zhou, Zehua Fu, Qiuyu Huang, Qingjie Liu, and Yunhong Wang:
LgNet: A Local-global Network for Action Recognition and Beyond.
IEEE Transactions on Multimedia. 25: 5192-5205, 2023
Yongqiang Kong, Yunhong Wang, Annan Li, and Qiuyu Huang:
Self-sufficient Feature Enhancing Networks for Video Salient Object Detection.
IEEE Transactions on Multimedia. 25: 557-571, 2023
Huiqun Wang, Ruijie Yang, Di Huang, and Yunhong Wang:
iDARTS: Improving DARTS by Node Normalization and Decorrelation Discretization.
IEEE Transactions on Neural Networks and Learning Systems. 34(4): 1945-1957, 2023
Xueping Wang, Yunhong Wang, Weixin Li, Zhengyin Du, and Di Huang:
Facial Expression Animation by Landmark Guided Residual Module.
IEEE Transactions on Affective Computing. 14(2): 878-894, 2023
Weixin Li, Xuan Dong, and Yunhong Wang:
Human Emotion Recognition with Relational Region-Level Analysis.
IEEE Transactions on Affective Computing. 14(1): 650-663, 2023
Tianrui Chai, Zhiyuan Chen, Annan Li, Jiaxin Chen, Xinyu Mei, and Yunhong Wang:
Video Person Re-Identification Using Attribute-Enhanced Features.
IEEE Transactions on Circuits and Systems for Video Technology. 32: 7951-7966, 2022
Yongqiang Kong, Yunhong Wang, and Annan Li:
Spatiotemporal Saliency Representation Learning for Video Action Recognition.
IEEE Transactions on Multimedia. 24: 1515-1528, 2022
Guangshuai Gao, Qingjie Liu, Zhenghui Hu, Lu Li, Qi Wen, and Yunhong Wang:
PSGCNet: A Pyramidal Scale and Global Context Guided Network for Dense Object Counting in Remote-Sensing Images.
IEEE Transactions on Geoscience and Remote Sensing. 60: 1-12, 2022
Huanyu Zhou, Qingjie Liu, Dawei Weng, and Yunhong Wang:
Unsupervised Cycle-Consistent Generative Adversarial Networks for Pan Sharpening.
IEEE Transactions on Geoscience and Remote Sensing. 60: 1-14, 2022
Jiahao Wang, Yunhong Wang, Nina Weng, Tianrui Chai, Annan Li, Faxi Zhang, and Sansi Yu:
Will You Ever Become Popular? Learning to Predict Virality of Dance Clips.
ACM Transactions on Multimedia Computing, Communications, and Applications. 18(2): 1-24, 2022
Ran Qin, Qingjie Liu, Guangshuai Gao, Di Huang, and Yunhong Wang:
MRDet: A Multihead Network for Accurate Rotated Object Detection in Aerial Images.
IEEE Transactions on Geoscience and Remote Sensing. 60: 1-12, 2022
Hongyu Yang, Di Huang, Yunhong Wang, and Anil K. Jain:
Learning Continuous Face Age Progression: A Pyramid of GANs.
IEEE Transactions on Pattern Analysis and Machine Intelligence. 43(2): 499-515, 2021
Mengshi Qi, Jie Qin, Yi Yang, Yunhong Wang, and Jiebo Luo:
Semantics-Aware Spatial-Temporal Binaries for Cross-Modal Video
Retrieval. IEEE Transaction on Image Processing. 30: 2989-3004, 2021
Qingjie Liu, Huanyu Zhou, Qizhi Xu, Xiangyu Liu, and Yunhong Wang:
PSGAN: A Generative Adversarial Network for Remote Sensing Image Pan-Sharpening.
IEEE Transactions on Geoscience and Remote Sensing. 14(8): 1-16, 2020
Longteng Kong, Di Huang, Jie Qin, and Yunhong Wang: A Joint Framework for
Athlete Tracking and Action Recognition in Sports Videos. IEEE Transactions on Circuits and Systems for Video Technology. 30(2): 532-548, 2020
Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li, Jiebo Luo, and Luc Van Gool:
StagNet: An Attentive Semantic RNN for Group Activity and Individual Action
Recognition. IEEE Transactions on Circuits and Systems for Video Technology. 30(2):
549-565, 2020
Bin Hou, Qingjie Liu, Heng Wang, and Yunhong Wang: From W-Net to CDGAN:
Bitemporal Change Detection via Deep Learning Techniques. IEEE Trans.
Geoscience and Remote Sensing 58(3): 1790-1802, 2020
Songtao Liu, Di Huang, and Yunhong Wang: Pay Attention to Them: Deep
Reinforcement Learning-Based Cascade Object Detection. IEEE Transactions on Neural Networks and Learning Systems. 31(7): 2544-2556, 2020
Mengshi Qi, Yunhong Wang, Annan Li, and Jiebo Luo: STC-GAN: Spatio-Temporally
Coupled Generative Adversarial Networks for Predictive Scene Parsing.
IEEE Transactions on Image Processing. 29: 5420-5430, 2020
Mengshi Qi, Yunhong Wang, Annan Li, and Jiebo Luo: Sports Video Captioning via
Attentive Motion Representation and Group Relationship Modeling. IEEE
Transactions on Circuits and Systems for Video Technology. 30(8): 2617-2633, 2020
Guangshuai Gao, Wenting Zhao, Qingjie Liu, and Yunhong Wang: Co-Saliency
Detection with Co-Attention Fully Convolutional Network. IEEE Transactions on Circuits and Systems for Video Technology.
Longteng Kong, Di Huang, and Yunhong Wang: Long-Term Action Dependence-Based
Hierarchical Deep Association for Multi-Athlete Tracking in Sports
Videos. IEEE Transactions on Image Processing. 29: 7957-7969, 2020
Huiqun Wang, Di Huang, Kui Jia, and Yunhong Wang:Hierarchical Image Segmentation
Ensemble for Objectness in RGB-D Images. IEEE Transactions on Circuits and Systems for Video Technology. 29(1): 93-103, 2019
Jia Sun, Di Huang, Yunhong Wang, and Liming Chen:Expression Robust 3D Facial
Landmarking via Progressive Coarse-to-Fine Tuning. ACM Transactions on Multimedia Computing, Communications, and Applications. 15(1):
21:1-21:23, 2019
Qingpeng Li, Lichao Mou, Qingjie Liu, and Yunhong Wang, Xiao Xiang Zhu:HSF-Net:
Multiscale Deep Feature Embedding for Ship Detection in Optical Remote
Sensing Imagery. IEEE Transactions on Geoscience and Remote Sensing
56(12): 7147-7161, 2018
Xiaoke Zhu, Xiao-Yuan Jing, Liang Yang, Xinge You, Dan Chen, Guangwei Gao,
and Yunhong Wang:Semi-Supervised Cross-View Projection-Based Dictionary Learning
for Video-Based Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology. 28(10): 2599-2611, 2018
Zhengxin Zhang, Qingjie Liu, and Yunhong Wang:Road Extraction by Deep Residual
U-Net. IEEE Geoscience Remote Sensing Letter 15(5): 749-753, 2018
Ying Lu, Liming Chen, Alexandre Saidi, Emmanuel Dellandréa, and Yunhong
Wang:Discriminative Transfer Learning Using Similarities and
Dissimilarities. IEEE Transactions on Neural Networks and Learning Systems. 29(7):
3097-3110, 2018
Yongqiang Yao, Di Huang, Xudong Yang, Yunhong Wang, and Liming Chen:Texture and
Geometry Scattering Representation-Based Facial Expression Recognition in
2D+3D Videos. ACM Transactions on Multimedia Computing, Communications, and Applications. 14(1s): 18:1-18:23, 2018
Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Ruimin Hu, Xinge You, Yunhong Wang, Hui
Feng, and Jing-Yu Yang:Super-Resolution Person Re-Identification With
Semi-Coupled Low-Rank Discriminant Dictionary Learning. IEEE Transactions on Image Processing. 26(3): 1363-1378, 2017
Jiaxin Chen, Zhaoxiang Zhang, and Yunhong Wang:Corrections to "Relevance Metric
Learning for Person Re-Identification by Exploiting Listwise
Similarities". IEEE Transactions on Image Processing. 25(1): 494, 2016
Jie Qin, Li Liu, Zhaoxiang Zhang, Yunhong Wang, and Ling Shao:Compressive
Sequential Learning for Action Similarity Labeling. IEEE Transactions on Image Processing. 25(2): 756-769, 2016
Hongyu Yang, Di Huang, Yunhong Wang, Heng Wang, and Yuanyan Tang:Face Aging
Effect Simulation Using Hidden Factor Analysis Joint Sparse
Representation. IEEE Transactions on Image Processing. 25(6): 2493-2507, 2016
会议论文
Haiyu Zhang, Xinyuan Chen, Yaohui Wang, Xihui Liu, Yunhong Wang, and Yu Qiao:
4Diffusion: Multi-view Video Diffusion Model for 4D Generation. NeurIPS 2024
Haoxiang Ma, Modi Shi, Boyang Gao and Di Huang:
Active Perception for Grasp Detection via Neural Graspness Field. NeurIPS 2024
Hanwen Zhong, Jiaxin Chen, Yutong Zhang, Di Huang, and Yunhong Wang:
Transforming Vision Transformer: Towards Efficient Multi-Task Asynchronous Learner. NeurIPS 2024
Yingjie Gao, Yanan Zhang, Ziyue Huang, Nanqing Liu, and Di Huang:
PS-TTL: Prototype-based Soft-labels and Test-Time Learning for Few-shot Object Detection. ACM Multimedia 2024
Guozhen Peng, Yunhong Wang, Yuwei Zhao, Shaoxiong Zhang, and Annan Li:
GLGait: A Global-Local Temporal Receptive Field Network for Gait Recognition in the Wild. ACM Multimedia 2024
Huiqun Wang, Yiping Bao, Zeming Li, Panwang Pan, Xiao Liu, Ruijie Yang, and Di Huang:
Multi-modal Relation Distillation for Unified 3D Representation Learning. ECCV 2024
Zhi Cai, Yingjie Gao, Yaoyan Zheng, Nan Zhou, and Di Huang:
Crowd-SAM: SAM as a Smart Annotator for Object Detection in Crowded Scenes. ECCV 2024
Zhuguanyu Wu, Jiaxin Chen, Hanwen Zhong, Di Huang, and Yunhong Wang:
AdaLog: Post-Training Quantization for Vision Transformers with Adaptive Logarithm Quantizer. ECCV 2024
Ziyue Huang, Yongchao Feng, Qingjie Liu, and Yunhong Wang:
MutDet: Mutually Optimizing Pre-training for Remote Sensing Object Detection. ECCV 2024
Zheng Jiang, Jinqing Zhang, Yanan Zhang, Qingjie Liu, Zhenghui Hu, Baohui Wang, and Yunhong Wang:
FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection. ECCV 2024
Yongchao Feng, Shiwei Li, Yingjie Gao, Ziyue Huang, Yanan Zhang, Qingjie Liu, and Yunhong Wang:
DSD-DA: Distillation-based Source Debiasing for Domain Adaptive Object Detection. ICML 2024
Junfu Wang, Yuanfang Guo, Liang Yang, and Yunhong Wang:
Understanding Heterophily for Graph Neural Networks. ICML 2024
Wenshuai Xu, Zhenghui hu, Yu Lu, Jinzhou Meng, Qingjie Liu, and Yunhong Wang:
ActiveDC: Distribution Calibration for Active Finetuning. CVPR 2024
Wenrui Cai, Qingjie Liu, and Yunhong Wang:
HIPTrack: Visual Tracking with Historical Prompts. CVPR 2024
Haoxiang Ma, Modi Shi, Boyang Gao, and Di Huang:
Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge. CVPR 2024
Xiefan Guo, Jinlin Liu, Miaomiao Cui, Jiankai Li, Hongyu Yang, and Di Huang:
InitNO: Boosting Text-to-Image Diffusion Models via Initial Noise Optimization. CVPR 2024
Jiankai Li, Yunhong Wang, Xiefan Guo, Ruijie Yang, and Weixin Li:
Leveraging Predicate and Triplet Learning for Scene Graph Generation. CVPR 2024
Guodong Wang, Yunhong Wang, Xiuguo Bao, and Di Huang:
Rotation Has Two Sides: Evaluating Data Augmentation for Deep One-class Classification. ICLR 2024
Ruikui Wang, Yuanfang Guo, and Yunhong Wang:
AGS: Affordable and Generalizable Substitute Training for Transferable Adversarial Attack. AAAI 2024
Bing Li, Jiaxin Chen, Xiuguo Bao, and Di Huang:
Compressed Video Prompt Tuning. NeurIPS 2023
Jiayi Zhang, and Weixin Li:
Multi-Modal and Multi-Scale Temporal Fusion Architecture Search for Audio-Visual Video Parsing. ACM Multimedia 2023: 3328-3336
Liangwei Jiang, Jiaxin Chen, Di Huang, and Yunhong Wang:
MIEP: Channel Pruning with Multi-granular Importance Estimation for Object Detection. ACM Multimedia 2023: 2908-2917
Weilai Xiang, Hongyu Yang, Di Huang, and Yunhong Wang:
Denoising Diffusion Autoencoders are Unified Self-supervised Learners. ICCV 2023: 15802-15812
Jinqing Zhang, Yanan Zhang, Qingjie Liu, and Yunhong Wang:
SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection. ICCV 2023: 3348-3357
Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, and Di Huang:
Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection. ICCV 2023: 6888-6897
Nan Zhou, Jiaxin Chen, and Di Huang:
DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration. ICCV 2023: 1547-1556
Mingwu Zheng, Haiyu Zhang, Hongyu Yang, and Di Huang:
NeuFace: Realistic 3D Neural Face Rendering from Multi-view Images. CVPR 2023: 16868-16877
Chao Zhou, Yanan Zhang, Jiaxin Chen, and Di Huang:
OcTr: Octree-based Transformer for 3D Object Detection. CVPR 2023: 5166-5175
Bowei Du, Yecheng Huang, Jiaxin Chen, and Di Huang:
Adaptive Sparse Convolutional Networks with Global Context Enhancement for Faster Object Detection on Drone Images. CVPR 2023: 13435-13444
Huanyu Zhou, Qingjie Liu, and Yunhong Wang:
Learning Discriminative Representations for Skeleton Based Action Recognition. CVPR 2023: 10608-10617
Ruikui Wang, Yuanfang Guo, Yunhong Wang:
Global-Local Characteristic Excited Cross-Modal Attacks from Images to Videos. AAAI 2023: 2635-2643
Lingfeng Tan, Yunhong Wang, Junfu Wang, Liang Yang, Xunxun Chen and Yuanfang Guo:
Deepfake Video Dectection via Facial Action Dependency Estimation. AAAI 2023: 5276-5284
Kaicheng Li, Hongyu Yang, Binghui Chen, Pengyu Li, Biao Wang and Di Huang:
Learning Polysemantic Spoof Trace: A Multi-Modal Disentanglement Network for Face Anti-spoofing. AAAI 2023: 1351-1359
Ye Du, Yujun Shen, Haochen Wang, Jingjing Fei, Wei Li, Liwei Wu, Rui Zhao, Zehua Fu and Qingjie Liu:
Learning from Future: A Novel Self-Training Framework for Semantic Segmentation. NeurIPS 2022: 4749-4761
Haoxiang Ma and Di Huang:
Towards Scale Balanced 6-DoF Grasp Detection in Cluttered Scenes. CoRL 2022: 2004-2013
Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang:
Video Anomaly Detection by Solving Decoupled Spatio-Temporal Jigsaw Puzzles. ECCV 2022: 494-511
Jingcheng Ni, Nan Zhou, Jie Qin, Qian Wu, Junqi Liu, Boxun Li, Di Huang:
Motion Sensitive Contrastive Learning for Self-supervised Video Representation. ECCV 2022: 457-474
Zhiyuan Zhao,Qingjie Liu,Yunhong Wang:
Exploring Efficient Knowledge Transferring for Few-shot Object Detection. ACM Multimedia 2022: 6831-6839
Weilai Xiang, Hongyu Yang, Di Huang, Yunhong Wang:
Multi-view Gait Video Synthesis. ACM Multimedia 2022: 6783-6791
Zhihong Fu, Zehua Fu, Qingjie Liu, Wenrui Cai, Yunhong Wang:
SparseTT: Visual Tracking with Sparse Transformers. IJCAI 2022: 905-912
Jiahao Wang, Jie Qin, Yunhong Wang, Annan Li:
PACE: Predictive and Contrastive Embedding for Unsupervised Action Segmentation. IJCAI 2022: 1423-1429
Bing Li, Jiaxin Chen, Dongming Zhang, Xiuguo Bao, and Di Huang:
Representation Learning for Compressed Video Action Recognition via Attentive Cross-modal Interaction with Motion Enhancement. IJCAI 2022: 1060-1066
Mingwu Zheng, Hongyu Yang, Di Huang, Liming Chen:
ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations. CVPR 2022: 20343-20352
Yanan Zhang, Jiaxin Chen, Di Huang:
CAT-Det: Contrastively Augmented Transformer for Multi-modal 3D Object Detection. CVPR 2022: 908-917
Ye Du, Zehua Fu, Qingjie Liu:
Weakly Supervised Semantic Segmentation by Pixel-to-prototype Contrast. CVPR 2022: 4320-4329
Tianrui Chai, Annan Li, Shaoxiong Zhang, Zilong Li, Yunhong Wang:
Lagrange Motion Analysis and View Embeddings for Improved Gait Recognition. CVPR 2022: 20249-20258
Jiaxi Wu, Jiaxin Chen, Mengzhe He, Yiru Wang, Bo Li, Bingqi Ma, Weihao Gan, Wei Wu, Yali Wang, Di Huang:
Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection. CVPR 2022: 5301-5310
Jiaxi Wu, Jiaxin Chen, Di Huang:
Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint. CVPR 2022: 9397-9406
Yecheng Huang, Jiaxin Chen, Di Huang:
UFPMP-Det: Toward Accurate and Efficient Object Detection on Drone Imagery. AAAI 2022: 1026-1033
Zichen Yang, Jie Qin, Di Huang:
ACGNet: Action Complement Graph Network for Weakly-supervised Temporal Action Localization. AAAI 2022: 3090-3098
Guangyuan Zhou, Huiqun Wang, Jiaxin Chen, Di Huang:
PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation. ICCV 2021:
2793-2802
Xiefan Guo, Hongyu Yang, Di Huang:
Image Inpainting via Conditional Texture and Structure Dual Generation. ICCV 2021:
14134-14143
Jiahao Wang, Yunhong Wang, Sheng Liu, Annan Li:
Few-Shot Fine-Grained Action Recognition via Bidirectional Attention
and Contrastive Meta-Learning. ACM Multimedia 2021: 582-591
Jingcheng Ni, Jie Qin, Di Huang:
Identity-aware Graph Memory Network for Action Detection. ACM Multimedia 2021: 3437-3445
Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo:
Bi-GCN: Binary Graph Convolutional Network. CVPR 2021:
1561-1570
Shaoxiong Zhang, Yunhong Wang, Annan Li: Cross-View Gait Recognition With
Deep Universal Linear Embeddings. CVPR 2021:
9095-9104
Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang: STMTrack: Template-free
Visual Tracking with Space-time Memory Networks. CVPR 2021:
13774-13783
Yanan Zhang, Di Huang, Yunhong Wang: PC-RGNN: Point Cloud Completion
and Graph Neural Network for 3D Object Detection. AAAI 2021:
3430-3437
Yangtao Zheng, Di Huang, Songtao Liu, Yunhong Wang: Cross-domain Object
Detection through Coarse-to-Fine Feature Adaptation. CVPR 2020:
13763-13772
Mingda Wu, Di Huang, Yuanfang Guo, Yunhong Wang: Distraction-Aware Feature
Learning for Human Attribute Recognition via Coarse-to-Fine Attention
Mechanism. AAAI 2020: 12394-12401
Jiaxi Wu, Songtao Liu, Di Huang, Yunhong Wang: Multi-scale Positive Sample
Refinement for Few-Shot Object Detection. ECCV (16) 2020: 456-472
Xufang Luo, Qi Meng, Di He, Wei Chen, Yunhong Wang: I4R: Promoting Deep
Reinforcement Learning by the Indicator for Expressive Representations.
IJCAI 2020: 2669-2675
Mengshi Qi, Jie Qin, Xiantong Zhen, Di Huang, Yi Yang, Jiebo Luo: Few-Shot
Ensemble Learning for Video Classification with SlowFast Memory
Networks. ACM Multimedia 2020: 3007-3015
Mengshi Qi, Weijian Li, Zhengyuan Yang, Yunhong Wang, Jiebo Luo:Attentive
Relational Networks for Mapping Images to Scene Graphs. CVPR
2019: 3957-3966
Mengshi Qi, Yunhong Wang, Jie Qin, Annan Li:KE-GAN: Knowledge Embedded
Generative Adversarial Networks for Semi-Supervised Scene Parsing.
CVPR 2019: 5237-5246
Guodong Mu, Di Huang, Guosheng Hu, Jia Sun, Yunhong Wang: Led3D: A
Lightweight and Efficient Deep Approach to Recognizing Low-Quality 3D Faces.
CVPR 2019: 5773-5782
Songtao Liu, Di Huang, Yunhong Wang: Adaptive NMS: Refining Pedestrian
Detection in a Crowd. CVPR 2019: 6459-6468
Meijuan Jia, Hongyu Yang, Di Huang, Yunhong Wang: Attacking Gait Recognition
Systems via Silhouette Guided GANs. ACM Multimedia 2019: 638-646
Lian Gao, Di Huang, Yuanfang Guo, Yunhong Wang: Pedestrian Attribute
Recognition via Hierarchical Multi-task Learning and Relationship
Attention. ACM Multimedia 2019: 1340-1348
Hongyu Yang, Di Huang, Yunhong Wang, Anil K. Jain: Learning Face Age
Progression: A Pyramid Architecture of GANs. CVPR 2018: 31-39
Mengshi Qi, Jie Qin, Annan Li, Yunhong Wang, Jiebo Luo, Luc Van Gool: stagNet:
An Attentive Semantic RNN for Group Activity Recognition. ECCV (10)
2018: 104-120
Songtao Liu, Di Huang, Yunhong Wang: Receptive Field Block Net for Accurate
and Fast Object Detection. ECCV (11) 2018: 404-419
Zhixing Chen, Di Huang, Yunhong Wang, Liming Chen: Fast and Light Manifold CNN
based 3D Facial Expression Recognition across Pose Variations. ACM
Multimedia 2018: 229-238
Xufang Luo, Zijia Lin, Yunhong Wang, Zaiqing Nie: CoChat: Enabling Bot and
Human Collaboration for Task Completion. AAAI 2018
Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng:
Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for
Pedestrian Video Retrieval via Single Query Image. AAAI 2017
Mengshi Qi, Yunhong Wang, Annan Li: Online Cross-Modal Scene Retrieval by
Binary Representation and Semantic Graph. ACM Multimedia 2017
Jie Qin, Li Liu, Ling Shao, Bingbing Ni, Chen Chen, Fumin Shen and Yunhong
Wang: Binary Coding for Partial Action Analysis with Limited Observation
Ratios,CVPR 2017
Jie Qin, Li Liu, Ling Shao, Fumin Shen, Bingbing Ni, Jiaxin Chen and Yunhong
Wang: Zero-Shot Action Recognition via Error-Correcting Output
Codes,CVPR 2017
Jiaxin Chen, Yunhong Wang, Jie Qin, Li Liu and Ling Shao,Fast Person
Re-identification via Cross-camera Semantic Binary
Transformation, CVPR 2017