Yingwei Li - RankMe

52 papers A* 16A 3Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models. IROS Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2025	J	`jnl`	Drive&Gen: Co-Evaluating End-to-End Driving and Video Generation Models. CoRR Jiahao Wang, Zhenpei Yang, Yijing Bai, Yingwei Li, Yuliang Zou, Bo Sun, Abhijit Kundu, José Lezama, Luna Yue Huang, Zehao Zhu, Jyh-Jing Hwang, Dragomir Anguelov, Mingxing Tan, Chiyu Max Jiang
2024	A*	`conf`	SAM-Guided Masked Token Prediction for 3D Scene Understanding. NeurIPS Zhimin Chen, Liang Yang, Yingwei Li, Longlong Jing, Bing Li
2024	J	`jnl`	SAM-Guided Masked Token Prediction for 3D Scene Understanding. CoRR Zhimin Chen, Liang Yang, Yingwei Li, Longlong Jing, Bing Li
2023	A*	`conf`	Bridging the Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models. NeurIPS Zhimin Chen, Longlong Jing, Yingwei Li, Bing Li
2023	A	`conf`	Class-Level Confidence Based 3D Semi-Supervised Learning. WACV Zhimin Chen, Longlong Jing, Liang Yang, Yingwei Li, Bing Li
2023	J	`jnl`	Continual Adversarial Defense. CoRR Qian Wang, Yaoyao Liu, Hefei Ling, Yingwei Li, Qihao Liu, Ping Li, Jiazhong Chen, Alan L. Yuille, Ning Yu
2023	A*	`conf`	MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CVPR Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
2023	J	`jnl`	MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences. CoRR Yingwei Li, Charles R. Qi, Yin Zhou, Chenxi Liu, Dragomir Anguelov
2023	J	`jnl`	Point Cloud Self-supervised Learning via 3D to Multi-view Masked Autoencoder. CoRR Zhimin Chen, Yingwei Li, Longlong Jing, Liang Yang, Bing Li
2022	J	`jnl`	AsyInst: Asymmetric Affinity with DepthGrad and Color for Box-Supervised Instance Segmentation. CoRR Siwei Yang, Longlong Jing, Junfei Xiao, Hang Zhao, Alan L. Yuille, Yingwei Li
2022	J	`jnl`	Class-Level Confidence Based 3D Semi-Supervised Learning. CoRR Zhimin Chen, Longlong Jing, Liang Yang, Yingwei Li, Bing Li
2022	—	`conf`	Context-Enhanced Stereo Transformer. ECCV (32) Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan L. Yuille, Yingwei Li
2022	J	`jnl`	Context-Enhanced Stereo Transformer. CoRR Weiyu Guo, Zhaoshuo Li, Yongkui Yang, Zheng Wang, Russell H. Taylor, Mathias Unberath, Alan L. Yuille, Yingwei Li
2022	A*	`conf`	DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CVPR Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan
2022	J	`jnl`	DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan
2022	A*	`conf`	Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. ICRA Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov
2022	J	`jnl`	Depth Estimation Matters Most: Improving Per-Object Depth Estimation for Monocular 3D Detection and Tracking. CoRR Longlong Jing, Ruichi Yu, Henrik Kretzschmar, Kang Li, Charles R. Qi, Hang Zhao, Alper Ayvaci, Xu Chen, Dillon Cower, Yingwei Li, Yurong You, Han Deng, Congcong Li, Dragomir Anguelov
2022	A*	`conf`	Fast AdvProp. ICLR Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie
2022	J	`jnl`	Fast AdvProp. CoRR Jieru Mei, Yucheng Han, Yutong Bai, Yixiao Zhang, Yingwei Li, Xianhang Li, Alan L. Yuille, Cihang Xie
2022	A*	`conf`	Harnessing Perceptual Adversarial Patches for Crowd Counting. CCS Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
2022	A*	`conf`	Learning from Temporal Gradient for Semi-supervised Action Recognition. CVPR Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li
2022	A*	`conf`	R4D: Utilizing Reference Objects for Long-Range Distance Estimation. ICLR Yingwei Li, Tiffany L. Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao
2022	J	`jnl`	R4D: Utilizing Reference Objects for Long-Range Distance Estimation. CoRR Yingwei Li, Tiffany L. Chen, Maya Kabkab, Ruichi Yu, Longlong Jing, Yurong You, Hang Zhao
2022	A*	`conf`	SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CVPR Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille
2022	J	`jnl`	SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. CoRR Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille
2021	—	`ed.`	ADVM '21: Proceedings of the 1st International Workshop on Adversarial Learning for Multimedia, Virtual Event, China, 20 October 2021 AdvM @ ACM Multimedia Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar, Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu
2021	A*	`conf`	ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia. ACM Multimedia Aishan Liu, Xinyun Chen, Yingwei Li, Chaowei Xiao, Xun Yang, Xianglong Liu, Dawn Song, Dacheng Tao, Alan L. Yuille, Anima Anandkumar
2021	J	`jnl`	Adversarial Metric Attack and Defense for Person Re-Identification. IEEE Trans. Pattern Anal. Mach. Intell. Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H. S. Torr
2021	A*	`conf`	CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Networks. AAAI Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille
2021	J	`jnl`	Harnessing Perceptual Adversarial Patches for Crowd Counting. CoRR Shunchang Liu, Jiakai Wang, Aishan Liu, Yingwei Li, Yijie Gao, Xianglong Liu, Dacheng Tao
2021	J	`jnl`	Learning from Temporal Gradient for Semi-supervised Action Recognition. CoRR Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li
2021	A	`conf`	Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. BMVC Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille
2021	J	`jnl`	Searching for TrioNet: Combining Convolution with Local and Global Self-Attention. CoRR Huaijin Pi, Huiyu Wang, Yingwei Li, Zizhang Li, Alan L. Yuille
2021	A*	`conf`	Shape-Texture Debiased Neural Network Training. ICLR Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie
2020	A*	`conf`	AtomNAS: Fine-Grained End-to-End Neural Architecture Search. ICLR Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan L. Yuille, Jianchao Yang
2020	J	`jnl`	CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D Network. CoRR Qihang Yu, Yingwei Li, Jieru Mei, Yuyin Zhou, Alan L. Yuille
2020	A*	`conf`	Learning Transferable Adversarial Examples via Ghost Networks. AAAI Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille
2020	A*	`conf`	Neural Architecture Search for Lightweight Non-Local Networks. CVPR Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille
2020	J	`jnl`	Neural Architecture Search for Lightweight Non-Local Networks. CoRR Yingwei Li, Xiaojie Jin, Jieru Mei, Xiaochen Lian, Linjie Yang, Cihang Xie, Qihang Yu, Yuyin Zhou, Song Bai, Alan L. Yuille
2020	—	`conf`	Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. ECCV (11) Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille
2020	J	`jnl`	Shape-Texture Debiased Neural Network Training. CoRR Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie
2020	J	`jnl`	Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples. CoRR Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille
2019	J	`jnl`	Adversarial Metric Attack for Person Re-identification. CoRR Song Bai, Yingwei Li, Yuyin Zhou, Qizhu Li, Philip H. S. Torr
2019	J	`jnl`	AtomNAS: Fine-Grained End-to-End Neural Architecture Search. CoRR Jieru Mei, Yingwei Li, Xiaochen Lian, Xiaojie Jin, Linjie Yang, Alan L. Yuille, Jianchao Yang
2019	J	`jnl`	Hyper-Pairing Network for Multi-Phase Pancreatic Ductal Adenocarcinoma Segmentation. CoRR Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman, Alan L. Yuille, Seyoun Park
2019	—	`conf`	Hyper-Pairing Network for Multi-phase Pancreatic Ductal Adenocarcinoma Segmentation. MICCAI (2) Yuyin Zhou, Yingwei Li, Zhishuai Zhang, Yan Wang, Angtian Wang, Elliot K. Fishman, Alan L. Yuille, Seyoun Park
2019	J	`jnl`	Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures. CoRR Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille
2019	—	`conf`	Multi-scale Attentional Network for Multi-focal Segmentation of Active Bleed After Pelvic Fractures. MLMI@MICCAI Yuyin Zhou, David Dreizin, Yingwei Li, Zhishuai Zhang, Yan Wang, Alan L. Yuille
2019	J	`jnl`	Regional Homogeneity: Towards Learning Transferable Universal Adversarial Perturbations Against Defenses. CoRR Yingwei Li, Song Bai, Cihang Xie, Zhenyu Liao, Xiaohui Shen, Alan L. Yuille
2019	—	`ch.`	Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-Fine Framework and Its Adversarial Examples. Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics Yingwei Li, Zhuotun Zhu, Yuyin Zhou, Yingda Xia, Wei Shen, Elliot K. Fishman, Alan L. Yuille
2018	J	`jnl`	Learning Transferable Adversarial Examples via Ghost Networks. CoRR Yingwei Li, Song Bai, Yuyin Zhou, Cihang Xie, Zhishuai Zhang, Alan L. Yuille