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Lightning Talk
Lightning Talks 2B-1
Yehui Tang · Jian Wang · Zheng Chen · man zhou · Peng Gao · Chenyang Si · SHANGKUN SUN · Yixing Xu · Weihao Yu · Xinghao Chen · Kai Han · Hu Yu · Yulun Zhang · Chenhui Gou · Teli Ma · Yuanqi Chen · Yunhe Wang · Hongsheng Li · Jinjin Gu · Jianyuan Guo · Qiman Wu · Pan Zhou · Yu Zhu · Jie Huang · Chang Xu · Yichen Zhou · Haocheng Feng · Guodong Guo · yongbing zhang · Ziyi Lin · Feng Zhao · Ge Li · Junyu Han · Jinwei Gu · Jifeng Dai · Chao Xu · Xinchao Wang · Linghe Kong · Shuicheng Yan · Yu Qiao · Chen Change Loy · Xin Yuan · Errui Ding · Yunhe Wang · Deyu Meng · Jingdong Wang · Chongyi Li
- [ 64876 ] Cross Aggregation Transformer for Image Restoration
- [ 64877 ] BiMLP: Compact Binary Architectures for Vision Multi-Layer Perceptrons
- [ 64878 ] Inception Transformer
- [ 64879 ] GhostNetV2: Enhance Cheap Operation with Long-Range Attention
- [ 64880 ] MCMAE: Masked Convolution Meets Masked Autoencoders
- [ 64881 ] Deep Fourier Up-Sampling
- [ 64883 ] SKFlow: Learning Optical Flow with Super Kernels
- [ 64885 ] RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
Q&A on RocketChat immediately following Lightning Talks
Author Information
Yehui Tang (Peking University)
Jian Wang (Baidu)
Zheng Chen (Shanghai Jiao Tong University)
man zhou (University of Science and Technology of China)
Peng Gao (Shanghai AI Lab)
Chenyang Si (Sea AI Lab)
SHANGKUN SUN (Peking University)
Yixing Xu (Huawei Noah's Ark Lab)
Weihao Yu (National University of Singapore)
Xinghao Chen (Huawei Noah's Ark Lab)
Kai Han (Huawei Noah's Ark Lab)
Hu Yu (University of Science and Technology of China)
Yulun Zhang (ETH Zürich)
Chenhui Gou (Australian National University)
Teli Ma (Shanghai Artificial Intelligence Laboratory)
Yuanqi Chen (SECE, Peking University)
Yunhe Wang (Huawei Noah's Ark Lab)
Hongsheng Li (The Chinese University of Hong Kong)
Jinjin Gu (University of Sydney)
Jianyuan Guo (University of Sydney)
Qiman Wu (National Pedagogical University M. Dragomanov)
Pan Zhou (SEA AI Lab)
Currently, I am a senior Research Scientist in Sea AI Lab of Sea group. Before, I worked in Salesforce as a research scientist during 2019 to 2021. I completed my Ph.D. degree in 2019 at the National University of Singapore (NUS), fortunately advised by Prof. Jiashi Feng and Prof. Shuicheng Yan. Before studying in NUS, I graduated from Peking University (PKU) in 2016 and during this period, I was fortunately directed by Prof. Zhouchen Lin and Prof. Chao Zhang in ZERO Lab. During the research period, I also work closely with Prof. Xiaotong Yuan. I also spend several wonderful months in 2018 at Georgia Tech as visiting student hosted by Prof. Huan Xu.
Yu Zhu (Baidu)
Jie Huang (University of Science and Technology of China)
Chang Xu (University of Sydney)
Yichen Zhou (Sea Group)
Haocheng Feng (Baidu)
Guodong Guo (West Virginia University)
yongbing zhang (Harbin Institute of Technology (Shenzhen))
Ziyi Lin (The Chinese University of Hong Kong)
Feng Zhao (University of Science and Technology of China)
Ge Li (SECE, Shenzhen Graduate School, Peking University)
Junyu Han (Baidu)
Jinwei Gu (Nvidia)
Jifeng Dai (Tsinghua University)
Chao Xu (Peking University)
Xinchao Wang
Linghe Kong (Shanghai Jiao Tong University)
Shuicheng Yan (Sea AI Lab)
Yu Qiao (Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences)
Chen Change Loy (Nanyang Technological University)
Xin Yuan (Bell Labs)
Errui Ding (Baidu Inc.)
Yunhe Wang (Huawei Noah's Ark Lab)
Deyu Meng (Xi'an Jiaotong University)
Jingdong Wang (Microsoft)
Chongyi Li ( Nanyang Technological University)
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Jiayi Weng · Min Lin · Shengyi Huang · Bo Liu · Denys Makoviichuk · Viktor Makoviychuk · Zichen Liu · Yufan Song · Ting Luo · Yukun Jiang · Zhongwen Xu · Shuicheng Yan -
2022 Poster: ST-Adapter: Parameter-Efficient Image-to-Video Transfer Learning »
Junting Pan · Ziyi Lin · Xiatian Zhu · Jing Shao · Hongsheng Li -
2022 Poster: Random Normalization Aggregation for Adversarial Defense »
Minjing Dong · Xinghao Chen · Yunhe Wang · Chang Xu -
2022 Poster: Controllable 3D Face Synthesis with Conditional Generative Occupancy Fields »
Keqiang Sun · Shangzhe Wu · Zhaoyang Huang · Ning Zhang · Quan Wang · Hongsheng Li -
2022 Poster: Q-ViT: Accurate and Fully Quantized Low-bit Vision Transformer »
Yanjing Li · Sheng Xu · Baochang Zhang · Xianbin Cao · Peng Gao · Guodong Guo -
2021 Poster: DominoSearch: Find layer-wise fine-grained N:M sparse schemes from dense neural networks »
Wei Sun · Aojun Zhou · Sander Stuijk · Rob Wijnhoven · Andrew Nelson · Hongsheng Li · Henk Corporaal -
2021 Poster: Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation »
Can Qin · Handong Zhao · Lichen Wang · Huan Wang · Yulun Zhang · Yun Fu -
2021 Poster: Container: Context Aggregation Networks »
peng gao · Jiasen Lu · Hongsheng Li · Roozbeh Mottaghi · Aniruddha Kembhavi -
2021 Poster: Aligned Structured Sparsity Learning for Efficient Image Super-Resolution »
Yulun Zhang · Huan Wang · Can Qin · Yun Fu -
2021 Poster: Adder Attention for Vision Transformer »
Han Shu · Jiahao Wang · Hanting Chen · Lin Li · Yujiu Yang · Yunhe Wang -
2021 Poster: Towards Understanding Why Lookahead Generalizes Better Than SGD and Beyond »
Pan Zhou · Hanshu Yan · Xiaotong Yuan · Jiashi Feng · Shuicheng Yan -
2021 Poster: Dynamic Resolution Network »
Mingjian Zhu · Kai Han · Enhua Wu · Qiulin Zhang · Ying Nie · Zhenzhong Lan · Yunhe Wang -
2021 Poster: TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification »
Zhuchen Shao · Hao Bian · Yang Chen · Yifeng Wang · Jian Zhang · Xiangyang Ji · yongbing zhang -
2021 : Billion-Scale Approximate Nearest Neighbor Search Challenge + Q&A »
Harsha Vardhan Simhadri · George Williams · Martin Aumüller · Artem Babenko · Dmitry Baranchuk · Qi Chen · Matthijs Douze · Ravishankar Krishnawamy · Gopal Srinivasa · Suhas Jayaram Subramanya · Jingdong Wang -
2021 Poster: Post-Training Quantization for Vision Transformer »
Zhenhua Liu · Yunhe Wang · Kai Han · Wei Zhang · Siwei Ma · Wen Gao -
2021 Poster: Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training »
Yuanhao Cai · Xiaowan Hu · Haoqian Wang · Yulun Zhang · Hanspeter Pfister · Donglai Wei -
2021 Poster: Unfolding Taylor's Approximations for Image Restoration »
man zhou · Xueyang Fu · Zeyu Xiao · Gang Yang · Aiping Liu · Zhiwei Xiong -
2021 Poster: Learning to dehaze with polarization »
Chu Zhou · Minggui Teng · Yufei Han · Chao Xu · Boxin Shi -
2021 Poster: Handling Long-tailed Feature Distribution in AdderNets »
Minjing Dong · Yunhe Wang · Xinghao Chen · Chang Xu -
2021 Poster: Towards Stable and Robust AdderNets »
Minjing Dong · Yunhe Wang · Xinghao Chen · Chang Xu -
2021 Poster: Transformer in Transformer »
Kai Han · An Xiao · Enhua Wu · Jianyuan Guo · Chunjing XU · Yunhe Wang -
2021 Poster: Dual-stream Network for Visual Recognition »
Mingyuan Mao · peng gao · Renrui Zhang · Honghui Zheng · Teli Ma · Yan Peng · Errui Ding · Baochang Zhang · Shumin Han -
2021 Poster: An Empirical Study of Adder Neural Networks for Object Detection »
Xinghao Chen · Chang Xu · Minjing Dong · Chunjing XU · Yunhe Wang -
2021 Poster: Neural Architecture Dilation for Adversarial Robustness »
Yanxi Li · Zhaohui Yang · Yunhe Wang · Chang Xu -
2021 Poster: Learning Frequency Domain Approximation for Binary Neural Networks »
Yixing Xu · Kai Han · Chang Xu · Yehui Tang · Chunjing XU · Yunhe Wang -
2021 Poster: Augmented Shortcuts for Vision Transformers »
Yehui Tang · Kai Han · Chang Xu · An Xiao · Yiping Deng · Chao Xu · Yunhe Wang -
2021 Poster: A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning »
Pan Zhou · Caiming Xiong · Xiaotong Yuan · Steven Chu Hong Hoi -
2021 Oral: Learning Frequency Domain Approximation for Binary Neural Networks »
Yixing Xu · Kai Han · Chang Xu · Yehui Tang · Chunjing XU · Yunhe Wang -
2020 Poster: Towards Theoretically Understanding Why Sgd Generalizes Better Than Adam in Deep Learning »
Pan Zhou · Jiashi Feng · Chao Ma · Caiming Xiong · Steven Chu Hong Hoi · Weinan E -
2020 Poster: SCOP: Scientific Control for Reliable Neural Network Pruning »
Yehui Tang · Yunhe Wang · Yixing Xu · Dacheng Tao · Chunjing XU · Chao Xu · Chang Xu -
2020 Poster: Kernel Based Progressive Distillation for Adder Neural Networks »
Yixing Xu · Chang Xu · Xinghao Chen · Wei Zhang · Chunjing XU · Yunhe Wang -
2020 Poster: Theory-Inspired Path-Regularized Differential Network Architecture Search »
Pan Zhou · Caiming Xiong · Richard Socher · Steven Chu Hong Hoi -
2020 Poster: Model Rubik’s Cube: Twisting Resolution, Depth and Width for TinyNets »
Kai Han · Yunhe Wang · Qiulin Zhang · Wei Zhang · Chunjing XU · Tong Zhang -
2020 Poster: Adapting Neural Architectures Between Domains »
Yanxi Li · Zhaohui Yang · Yunhe Wang · Chang Xu -
2020 Spotlight: Kernel Based Progressive Distillation for Adder Neural Networks »
Yixing Xu · Chang Xu · Xinghao Chen · Wei Zhang · Chunjing XU · Yunhe Wang -
2020 Oral: Theory-Inspired Path-Regularized Differential Network Architecture Search »
Pan Zhou · Caiming Xiong · Richard Socher · Steven Chu Hong Hoi -
2020 Poster: Residual Distillation: Towards Portable Deep Neural Networks without Shortcuts »
Guilin Li · Junlei Zhang · Yunhe Wang · Chuanjian Liu · Matthias Tan · Yunfeng Lin · Wei Zhang · Jiashi Feng · Tong Zhang -
2020 Poster: UnModNet: Learning to Unwrap a Modulo Image for High Dynamic Range Imaging »
Chu Zhou · Hang Zhao · Jin Han · Chang Xu · Chao Xu · Tiejun Huang · Boxin Shi -
2020 Poster: Searching for Low-Bit Weights in Quantized Neural Networks »
Zhaohui Yang · Yunhe Wang · Kai Han · Chunjing XU · Chao Xu · Dacheng Tao · Chang Xu -
2020 Poster: Discriminative Sounding Objects Localization via Self-supervised Audiovisual Matching »
Di Hu · Rui Qian · Minyue Jiang · Xiao Tan · Shilei Wen · Errui Ding · Weiyao Lin · Dejing Dou -
2020 Poster: Improving GAN Training with Probability Ratio Clipping and Sample Reweighting »
Yue Wu · Pan Zhou · Andrew Wilson · Eric Xing · Zhiting Hu -
2020 Poster: Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID »
Yixiao Ge · Feng Zhu · Dapeng Chen · Rui Zhao · Hongsheng Li -
2020 Poster: Cross-Scale Internal Graph Neural Network for Image Super-Resolution »
Shangchen Zhou · Jiawei Zhang · Wangmeng Zuo · Chen Change Loy -
2020 Poster: Neural Sparse Representation for Image Restoration »
Yuchen Fan · Jiahui Yu · Yiqun Mei · Yulun Zhang · Yun Fu · Ding Liu · Thomas Huang -
2020 Poster: Balanced Meta-Softmax for Long-Tailed Visual Recognition »
Jiawei Ren · Cunjun Yu · shunan sheng · Xiao Ma · Haiyu Zhao · Shuai Yi · Hongsheng Li -
2020 Poster: ConvBERT: Improving BERT with Span-based Dynamic Convolution »
Zi-Hang Jiang · Weihao Yu · Daquan Zhou · Yunpeng Chen · Jiashi Feng · Shuicheng Yan -
2020 Poster: CoADNet: Collaborative Aggregation-and-Distribution Networks for Co-Salient Object Detection »
Qijian Zhang · Runmin Cong · Junhui Hou · Chongyi Li · Yao Zhao -
2020 Spotlight: ConvBERT: Improving BERT with Span-based Dynamic Convolution »
Zi-Hang Jiang · Weihao Yu · Daquan Zhou · Yunpeng Chen · Jiashi Feng · Shuicheng Yan -
2019 Poster: Variational Denoising Network: Toward Blind Noise Modeling and Removal »
Zongsheng Yue · Hongwei Yong · Qian Zhao · Deyu Meng · Lei Zhang -
2019 Poster: Multi-mapping Image-to-Image Translation via Learning Disentanglement »
Xiaoming Yu · Yuanqi Chen · Shan Liu · Thomas Li · Ge Li -
2019 Poster: Efficient Meta Learning via Minibatch Proximal Update »
Pan Zhou · Xiaotong Yuan · Huan Xu · Shuicheng Yan · Jiashi Feng -
2019 Poster: Heterogeneous Graph Learning for Visual Commonsense Reasoning »
Weijiang Yu · Jingwen Zhou · Weihao Yu · Xiaodan Liang · Nong Xiao -
2019 Spotlight: Heterogeneous Graph Learning for Visual Commonsense Reasoning »
Weijiang Yu · Jingwen Zhou · Weihao Yu · Xiaodan Liang · Nong Xiao -
2019 Spotlight: Efficient Meta Learning via Minibatch Proximal Update »
Pan Zhou · Xiaotong Yuan · Huan Xu · Shuicheng Yan · Jiashi Feng -
2019 Poster: Learning to Predict Layout-to-image Conditional Convolutions for Semantic Image Synthesis »
Xihui Liu · Guojun Yin · Jing Shao · Xiaogang Wang · Hongsheng Li -
2019 Poster: Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting »
Jun Shu · Qi Xie · Lixuan Yi · Qian Zhao · Sanping Zhou · Zongben Xu · Deyu Meng -
2019 Poster: Positive-Unlabeled Compression on the Cloud »
Yixing Xu · Yunhe Wang · Hanting Chen · Kai Han · Chunjing XU · Dacheng Tao · Chang Xu -
2019 Poster: Learning from Bad Data via Generation »
Tianyu Guo · Chang Xu · Boxin Shi · Chao Xu · Dacheng Tao -
2018 Poster: New Insight into Hybrid Stochastic Gradient Descent: Beyond With-Replacement Sampling and Convexity »
Pan Zhou · Xiaotong Yuan · Jiashi Feng -
2018 Poster: Efficient Stochastic Gradient Hard Thresholding »
Pan Zhou · Xiaotong Yuan · Jiashi Feng -
2018 Poster: FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification »
Yixiao Ge · Zhuowan Li · Haiyu Zhao · Guojun Yin · Shuai Yi · Xiaogang Wang · Hongsheng Li -
2018 Poster: Non-Local Recurrent Network for Image Restoration »
Ding Liu · Bihan Wen · Yuchen Fan · Chen Change Loy · Thomas Huang -
2018 Poster: Compact Generalized Non-local Network »
Kaiyu Yue · Ming Sun · Yuchen Yuan · Feng Zhou · Errui Ding · Fuxin Xu -
2018 Poster: Context-aware Synthesis and Placement of Object Instances »
Donghoon Lee · Sifei Liu · Jinwei Gu · Ming-Yu Liu · Ming-Hsuan Yang · Jan Kautz -
2018 Poster: Learning Versatile Filters for Efficient Convolutional Neural Networks »
Yunhe Wang · Chang Xu · Chunjing XU · Chao Xu · Dacheng Tao -
2016 Poster: CRF-CNN: Modeling Structured Information in Human Pose Estimation »
Xiao Chu · Wanli Ouyang · Hongsheng Li · Xiaogang Wang -
2016 Poster: CNNpack: Packing Convolutional Neural Networks in the Frequency Domain »
Yunhe Wang · Chang Xu · Shan You · Dacheng Tao · Chao Xu