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2020 – today
- 2023
[j30]Yan Kang, Yulong Xu, Xinchao Wang, Bin Pu, Xuekun Yang, Yulong Rao, Jianguo Chen:
HN-PPISP: a hybrid network based on MLP-Mixer for protein-protein interaction site prediction. Briefings Bioinform. 24(1) (2023)- [j29]Yadi Shi
, Guihe Qin, Yanhua Liang, Xinchao Wang, Jie Yan, Zhonghan Zhang:
Salient object detection based on edge-interior feature fusion. IET Image Process. 17(2): 337-348 (2023) - [j28]Yu Cheng, Yihao Ai, Bo Wang, Xinchao Wang, Robby T. Tan:
Bottom-up 2D pose estimation via dual anatomical centers for small-scale persons. Pattern Recognit. 139: 109403 (2023) - [i101]Ruonan Yu, Songhua Liu, Xinchao Wang:
Dataset Distillation: A Comprehensive Review. CoRR abs/2301.07014 (2023) - [i100]Gongfan Fang, Xinyin Ma, Mingli Song, Michael Bi Mi, Xinchao Wang:
DepGraph: Towards Any Structural Pruning. CoRR abs/2301.12900 (2023) - [i99]Jingwen Ye, Songhua Liu, Xinchao Wang:
Partial Network Cloning. CoRR abs/2303.10597 (2023) - [i98]Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Yu Guang Wang, Xinchao Wang, Yanfeng Wang:
EqMotion: Equivariant Multi-agent Motion Prediction with Invariant Interaction Reasoning. CoRR abs/2303.10876 (2023) - [i97]Weihao Yu, Pan Zhou, Shuicheng Yan, Xinchao Wang:
InceptionNeXt: When Inception Meets ConvNeXt. CoRR abs/2303.16900 (2023) - [i96]Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Xinxin Zuo, Zihang Jiang, Xinchao Wang:
TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. CoRR abs/2304.02419 (2023) - [i95]Tongya Zheng, Xinchao Wang, Zunlei Feng, Jie Song, Yunzhi Hao, Mingli Song, Xingen Wang, Xinyu Wang, Chun Chen:
Temporal Aggregation and Propagation Graph Neural Networks for Dynamic Representation. CoRR abs/2304.07503 (2023) - [i94]Songhua Liu, Jingwen Ye, Xinchao Wang:
Any-to-Any Style Transfer: Making Picasso and Da Vinci Collaborate. CoRR abs/2304.09728 (2023) - [i93]Qiuhong Shen, Xingyi Yang, Xinchao Wang:
Anything-3D: Towards Single-view Anything Reconstruction in the Wild. CoRR abs/2304.10261 (2023) - [i92]Yongcheng Jing, Xinchao Wang, Dacheng Tao:
Segment Anything in Non-Euclidean Domains: Challenges and Opportunities. CoRR abs/2304.11595 (2023) - [i91]Hao Tang, Songhua Liu, Tianwei Lin, Shaoli Huang, Fu Li, Dongliang He, Xinchao Wang:
Master: Meta Style Transformer for Controllable Zero-Shot and Few-Shot Artistic Style Transfer. CoRR abs/2304.11818 (2023) - [i90]Yongcheng Jing, Chongbin Yuan, Li Ju, Yiding Yang, Xinchao Wang, Dacheng Tao:
Deep Graph Reprogramming. CoRR abs/2304.14593 (2023) - [i89]Zhihe Lu, Zeyu Xiao, Jiawang Bai, Zhiwei Xiong, Xinchao Wang:
Can SAM Boost Video Super-Resolution? CoRR abs/2305.06524 (2023) - [i88]Gongfan Fang, Xinyin Ma, Xinchao Wang:
Structural Pruning for Diffusion Models. CoRR abs/2305.10924 (2023) - [i87]Xinyin Ma, Gongfan Fang, Xinchao Wang:
LLM-Pruner: On the Structural Pruning of Large Language Models. CoRR abs/2305.11627 (2023) - 2022
- [j27]Qianchao Wang, Lei Pan, Haitao Wang, Xinchao Wang, Ying Zhu:
Short-term wind power probabilistic forecasting using a new neural computing approach: GMC-DeepNN-PF. Appl. Soft Comput. 126: 109247 (2022) - [j26]Wenwen Pan, Yanling Yin, Xinchao Wang, Yongcheng Jing, Mingli Song:
Seek-and-Hide: Adversarial Steganography via Deep Reinforcement Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7871-7884 (2022) - [j25]Jiawei Chen, Jian Wang, Xinchao Wang, Xingen Wang, Zunlei Feng, Ruitao Liu, Mingli Song:
CoEvo-Net: Coevolution Network for Video Highlight Detection. IEEE Trans. Circuits Syst. Video Technol. 32(6): 3788-3797 (2022) - [j24]Fuxiang Wu, Jun Cheng, Xinchao Wang, Lei Wang, Dapeng Tao:
Image Hallucination From Attribute Pairs. IEEE Trans. Cybern. 52(1): 568-581 (2022) - [j23]Yunzhi Hao, Xinchao Wang, Xingen Wang, Xinyu Wang, Chun Chen, Mingli Song:
Walking With Attention: Self-Guided Walking for Heterogeneous Graph Embedding. IEEE Trans. Knowl. Data Eng. 34(12): 6047-6060 (2022) - [c99]Jingwen Ye, Yining Mao, Jie Song, Xinchao Wang, Cheng Jin, Mingli Song:
Safe Distillation Box. AAAI 2022: 3117-3124 - [c98]Gongfan Fang, Kanya Mo, Xinchao Wang, Jie Song, Shitao Bei, Haofei Zhang, Mingli Song:
Up to 100x Faster Data-Free Knowledge Distillation. AAAI 2022: 6597-6604 - [c97]Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li:
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database. ACL (1) 2022: 5699-5710 - [c96]Peng Du, Jifeng Ning, Jiguang Cui, Shaoli Huang, Xinchao Wang, Jiaxin Wang:
Geometric Structure Preserving Warp for Natural Image Stitching. CVPR 2022: 3678-3686 - [c95]Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang:
Slimmable Domain Adaptation. CVPR 2022: 7131-7140 - [c94]Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang:
Point2Seq: Detecting 3D Objects as Sequences. CVPR 2022: 8511-8520 - [c93]Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan:
MetaFormer is Actually What You Need for Vision. CVPR 2022: 10809-10819 - [c92]Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang:
Shunted Self-Attention via Multi-Scale Token Aggregation. CVPR 2022: 10843-10852 - [c91]Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang:
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. CVPR 2022: 11007-11017 - [c90]Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You:
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CVPR 2022: 11727-11736 - [c89]Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You:
CAFE: Learning to Condense Dataset by Aligning Features. CVPR 2022: 12186-12195 - [c88]Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang:
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. ECCV (16) 2022: 72-90 - [c87]Xingyi Yang, Jingwen Ye, Xinchao Wang:
Factorizing Knowledge in Neural Networks. ECCV (34) 2022: 73-91 - [c86]Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang:
Learning with Recoverable Forgetting. ECCV (11) 2022: 87-103 - [c85]Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt:
Hierarchical Semi-supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. ECCV (25) 2022: 110-128 - [c84]Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao:
Learning Graph Neural Networks for Image Style Transfer. ECCV (7) 2022: 111-128 - [c83]Xin Jin, Tianyu He, Xu Shen, Songhua Wu, Tongliang Liu, Jingwen Ye, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua:
Unleashing the Potential of Adaptation Models via Go-getting Domain Labels. ECCV Workshops (8) 2022: 308-325 - [c82]Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu:
Attention Diversification for Domain Generalization. ECCV (34) 2022: 322-340 - [c81]Xiaoyu Xu, Jiayan Qiu, Xinchao Wang, Zhou Wang:
Relationship Spatialization for Depth Estimation. ECCV (37) 2022: 615-637 - [c80]Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: A 3D Generative Model for Animatable Human Avatars. ECCV Workshops (3) 2022: 668-685 - [c79]Jinming Zhao, Ruichen Li, Qin Jin, Xinchao Wang, Haizhou Li:
Memobert: Pre-Training Model with Prompt-Based Learning for Multimodal Emotion Recognition. ICASSP 2022: 4703-4707 - [c78]Dapeng Hu, Shipeng Yan, Qizhengqiu Lu, Lanqing Hong, Hailin Hu, Yifan Zhang, Zhenguo Li, Xinchao Wang, Jiashi Feng:
How Well Does Self-Supervised Pre-Training Perform with Streaming Data? ICLR 2022 - [c77]Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu:
Learning Domain Adaptive Object Detection with Probabilistic Teacher. ICML 2022: 3040-3055 - [c76]Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu:
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. IJCAI 2022: 4296-4302 - [c75]Kuangqi Zhou, Kaixin Wang, Jian Tang, Jiashi Feng, Bryan Hooi, Peilin Zhao, Tingyang Xu, Xinchao Wang:
Jointly Modelling Uncertainty and Diversity for Active Molecular Property Prediction. LoG 2022: 29 - [c74]Xin Jin, Tianyu He, Xu Shen, Tongliang Liu, Xinchao Wang, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua:
Meta Clustering Learning for Large-scale Unsupervised Person Re-identification. ACM Multimedia 2022: 2163-2172 - [c73]Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. NeurIPS 2022 - [c72]Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang:
Dataset Distillation via Factorization. NeurIPS 2022 - [c71]Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan:
Inception Transformer. NeurIPS 2022 - [c70]Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. NeurIPS 2022 - [c69]Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang:
Deep Model Reassembly. NeurIPS 2022 - [c68]Jingwen Ye, Zunlei Feng, Xinchao Wang:
Flocking Birds of a Feather Together: Dual-step GAN Distillation via Realer-Fake Samples. VCIP 2022: 1-5 - [i86]Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You:
CAFE: Learning to Condense Dataset by Aligning Features. CoRR abs/2203.01531 (2022) - [i85]Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang:
Point2Seq: Detecting 3D Objects as Sequences. CoRR abs/2203.13394 (2022) - [i84]Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang:
PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. CoRR abs/2203.15625 (2022) - [i83]Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You:
Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. CoRR abs/2204.02547 (2022) - [i82]Kai Wang, Xiangyu Peng, Shuo Yang, Jianfei Yang, Zheng Zhu, Xinchao Wang, Yang You:
Reliable Label Correction is a Good Booster When Learning with Extremely Noisy Labels. CoRR abs/2205.00186 (2022) - [i81]Xinyin Ma, Xinchao Wang, Gongfan Fang, Yongliang Shen, Weiming Lu:
Prompting to Distill: Boosting Data-Free Knowledge Distillation via Reinforced Prompt. CoRR abs/2205.07523 (2022) - [i80]Jinming Zhao, Tenggan Zhang, Jingwen Hu, Yuchen Liu, Qin Jin, Xinchao Wang, Haizhou Li:
M3ED: Multi-modal Multi-scene Multi-label Emotional Dialogue Database. CoRR abs/2205.10237 (2022) - [i79]Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Jiankang Deng, Xinchao Wang, Hakan Bilen, Yang You:
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders. CoRR abs/2205.11090 (2022) - [i78]Kuangqi Zhou, Kaixin Wang, Jiashi Feng, Jian Tang, Tingyang Xu, Xinchao Wang:
Tyger: Task-Type-Generic Active Learning for Molecular Property Prediction. CoRR abs/2205.11279 (2022) - [i77]Chenyang Si, Weihao Yu, Pan Zhou, Yichen Zhou, Xinchao Wang, Shuicheng Yan:
Inception Transformer. CoRR abs/2205.12956 (2022) - [i76]Meilin Chen, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Yunfeng Yan, Donglian Qi, Yueting Zhuang, Di Xie, Shiliang Pu:
Learning Domain Adaptive Object Detection with Probabilistic Teacher. CoRR abs/2206.06293 (2022) - [i75]Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang:
Slimmable Domain Adaptation. CoRR abs/2206.06620 (2022) - [i74]Shunyu Liu, Xinchao Wang, Na Yu, Jie Song, Kaixuan Chen, Zunlei Feng, Mingli Song:
Ask-AC: An Initiative Advisor-in-the-Loop Actor-Critic Framework. CoRR abs/2207.01955 (2022) - [i73]Xingyi Yang, Jingwen Ye, Xinchao Wang:
Factorizing Knowledge in Neural Networks. CoRR abs/2207.03337 (2022) - [i72]Songhua Liu, Jingwen Ye, Sucheng Ren, Xinchao Wang:
DynaST: Dynamic Sparse Transformer for Exemplar-Guided Image Generation. CoRR abs/2207.06124 (2022) - [i71]Jingwen Ye, Yifang Fu, Jie Song, Xingyi Yang, Songhua Liu, Xin Jin, Mingli Song, Xinchao Wang:
Learning with Recoverable Forgetting. CoRR abs/2207.08224 (2022) - [i70]Yongcheng Jing, Yining Mao, Yiding Yang, Yibing Zhan, Mingli Song, Xinchao Wang, Dacheng Tao:
Learning Graph Neural Networks for Image Style Transfer. CoRR abs/2207.11681 (2022) - [i69]Gaoang Wang, Yibing Zhan, Xinchao Wang, Mingli Song, Klara Nahrstedt:
Hierarchical Semi-Supervised Contrastive Learning for Contamination-Resistant Anomaly Detection. CoRR abs/2207.11789 (2022) - [i68]Donglin Xie, Ruonan Yu, Gongfan Fang, Jie Song, Zunlei Feng, Xinchao Wang, Li Sun, Mingli Song:
Federated Selective Aggregation for Knowledge Amalgamation. CoRR abs/2207.13309 (2022) - [i67]Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: a 3D Generative Model for Animatable Human Avatars. CoRR abs/2208.00561 (2022) - [i66]Yu Cheng, Yihao Ai, Bo Wang, Xinchao Wang, Robby T. Tan:
Bottom-Up 2D Pose Estimation via Dual Anatomical Centers for Small-Scale Persons. CoRR abs/2208.11975 (2022) - [i65]Rang Meng, Xianfeng Li, Weijie Chen, Shicai Yang, Jie Song, Xinchao Wang, Lei Zhang, Mingli Song, Di Xie, Shiliang Pu:
Attention Diversification for Domain Generalization. CoRR abs/2210.04206 (2022) - [i64]Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. CoRR abs/2210.04532 (2022) - [i63]Dongze Lian, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning. CoRR abs/2210.08823 (2022) - [i62]Kaixin Wang, Kuangqi Zhou, Jiashi Feng, Bryan Hooi, Xinchao Wang:
Reachability-Aware Laplacian Representation in Reinforcement Learning. CoRR abs/2210.13153 (2022) - [i61]Weihao Yu, Chenyang Si, Pan Zhou, Mi Luo, Yichen Zhou, Jiashi Feng, Shuicheng Yan, Xinchao Wang:
MetaFormer Baselines for Vision. CoRR abs/2210.13452 (2022) - [i60]Songhua Liu, Kai Wang, Xingyi Yang, Jingwen Ye, Xinchao Wang:
Dataset Distillation via Factorization. CoRR abs/2210.16774 (2022) - [i59]Xingyi Yang, Daquan Zhou, Songhua Liu, Jingwen Ye, Xinchao Wang:
Deep Model Reassembly. CoRR abs/2210.17409 (2022) - [i58]Tao Yu, Zhihe Lu, Xin Jin, Zhibo Chen, Xinchao Wang:
Task Residual for Tuning Vision-Language Models. CoRR abs/2211.10277 (2022) - [i57]Jianfeng Zhang, Zihang Jiang, Dingdong Yang, Hongyi Xu, Yichun Shi, Guoxian Song, Zhongcong Xu, Xinchao Wang, Jiashi Feng:
AvatarGen: A 3D Generative Model for Animatable Human Avatars. CoRR abs/2211.14589 (2022) - [i56]Xingyi Yang, Daquan Zhou, Jiashi Feng, Xinchao Wang:
Diffusion Probabilistic Model Made Slim. CoRR abs/2211.17106 (2022) - 2021
- [j22]Jiayan Qiu, Xinchao Wang, Pascal Fua, Dacheng Tao:
Matching Seqlets: An Unsupervised Approach for Locality Preserving Sequence Matching. IEEE Trans. Pattern Anal. Mach. Intell. 43(2): 745-752 (2021) - [j21]Weihong Ren, Xinchao Wang, Jiandong Tian, Yandong Tang, Antoni B. Chan:
Tracking-by-Counting: Using Network Flows on Crowd Density Maps for Tracking Multiple Targets. IEEE Trans. Image Process. 30: 1439-1452 (2021) - [c67]Zunlei Feng, Zhonghua Wang, Xinchao Wang, Xiuming Zhang, Lechao Cheng, Jie Lei, Yuexuan Wang, Mingli Song:
Edge-competing Pathological Liver Vessel Segmentation with Limited Labels. AAAI 2021: 1325-1333 - [c66]Zunlei Feng, Lechao Cheng, Xinchao Wang, Xiang Wang, Ya Jie Liu, Xiangtong Du, Mingli Song:
Visual Boundary Knowledge Translation for Foreground Segmentation. AAAI 2021: 1334-1342 - [c65]Shaoli Huang, Xinchao Wang, Dacheng Tao:
SnapMix: Semantically Proportional Mixing for Augmenting Fine-grained Data. AAAI 2021: 1628-1636 - [c64]Chengchao Shen, Xinchao Wang, Youtan Yin, Jie Song, Sihui Luo, Mingli Song:
Progressive Network Grafting for Few-Shot Knowledge Distillation. AAAI 2021: 2541-2549 - [c63]Huihui Liu, Yiding Yang, Xinchao Wang:
Overcoming Catastrophic Forgetting in Graph Neural Networks. AAAI 2021: 8653-8661 - [c62]Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CVPR 2021: 3350-3360 - [c61]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Turning Frequency to Resolution: Video Super-Resolution via Event Cameras. CVPR 2021: 7772-7781 - [c60]Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua:
Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking. CVPR 2021: 8074-8084 - [c59]Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao:
Online Multiple Object Tracking With Cross-Task Synergy. CVPR 2021: 8136-8145 - [c58]Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao:
Scene Essence. CVPR 2021: 8322-8333 - [c57]Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song:
Tree-Like Decision Distillation. CVPR 2021: 13488-13497 - [c56]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Amalgamating Knowledge From Heterogeneous Graph Neural Networks. CVPR 2021: 15709-15718 - [c55]Shaoli Huang, Xinchao Wang, Dacheng Tao:
Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition. ICCV 2021: 600-609 - [c54]Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song:
Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image. ICCV 2021: 4016-4025 - [c53]Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song:
Self-born Wiring for Neural Trees. ICCV 2021: 5027-5036 - [c52]Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao:
Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. ICCV 2021: 5281-5290 - [c51]Lechao Cheng, Zunlei Feng, Xinchao Wang, Ya Jie Liu, Jie Lei, Mingli Song:
Boundary Knowledge Translation based Reference Semantic Segmentation. IJCAI 2021: 629-635 - [c50]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Invertion for Data-Free Knolwedge Distillation. IJCAI 2021: 2374-2380 - [c49]Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. IJCAI 2021: 3228-3234 - [c48]Gongfan Fang, Yifan Bao, Jie Song, Xinchao Wang, Donglin Xie, Chengchao Shen, Mingli Song:
Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data. NeurIPS 2021: 11920-11932 - [c47]Haipei Sun, Yiding Yang, Yanying Li, Huihui Liu, Xinchao Wang, Wendy Hui Wang:
Automating Fairness Configurations for Machine Learning. WWW (Companion Volume) 2021: 193-201 - [i55]Yiding Yang, Xinchao Wang, Mingli Song, Junsong Yuan, Dacheng Tao:
SPAGAN: Shortest Path Graph Attention Network. CoRR abs/2101.03464 (2021) - [i54]Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song:
Training Generative Adversarial Networks in One Stage. CoRR abs/2103.00430 (2021) - [i53]Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao:
Online Multiple Object Tracking with Cross-Task Synergy. CoRR abs/2104.00380 (2021) - [i52]Mengqi Xue, Jie Song, Xinchao Wang, Ying Chen, Xingen Wang, Mingli Song:
KDExplainer: A Task-oriented Attention Model for Explaining Knowledge Distillation. CoRR abs/2105.04181 (2021) - [i51]Gongfan Fang, Jie Song, Xinchao Wang, Chengchao Shen, Xingen Wang, Mingli Song:
Contrastive Model Inversion for Data-Free Knowledge Distillation. CoRR abs/2105.08584