Chenhang He - RankMe

42 papers A* 13Journal 23Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	BEVDilation: LiDAR-Centric Multi-Modal Fusion for 3D Object Detection. AAAI Guowen Zhang, Chenhang He, Liyi Chen, Lei Zhang
2026	A*	`conf`	PUFM: Efficient Point Cloud Upsampling via Flow Matching. AAAI Zhi-Song Liu, Chenhang He, Yakun Ju, Lei Li
2025	J	`jnl`	BEVDilation: LiDAR-Centric Multi-Modal Fusion for 3D Object Detection. CoRR Guowen Zhang, Chenhang He, Liyi Chen, Lei Zhang
2025	A*	`conf`	Continuous Autoregressive Modeling with Stochastic Monotonic Alignment for Speech Synthesis. ICLR Weiwei Lin, Chenhang He
2025	J	`jnl`	Efficient Point Clouds Upsampling via Flow Matching. CoRR Zhi-Song Liu, Chenhang He, Lei Li
2025	J	`jnl`	Ex2Vec: Enhancing assembly code semantics with end-to-end execution-aware embeddings. Neural Networks Xingyu Gong, Yang Xu, Sicong Zhang, Chenhang He
2025	J	`jnl`	PUFM++: Point Cloud Upsampling via Enhanced Flow Matching. CoRR Zhi-Song Liu, Chenhang He, Roland Maier, Andreas Rupp
2024	—	`conf`	Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding. ECCV (49) Ruihuang Li, Zhengqiang Zhang, Chenhang He, Zhiyuan Ma, Vishal M. Patel, Lei Zhang
2024	J	`jnl`	Dense Multimodal Alignment for Open-Vocabulary 3D Scene Understanding. CoRR Ruihuang Li, Zhengqiang Zhang, Chenhang He, Zhiyuan Ma, Vishal M. Patel, Lei Zhang
2024	J	`jnl`	Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth. World Sci. Annu. Rev. Artif. Intell. Chenhang He, Lei Zhang
2024	—	`conf`	LAPT: Label-Driven Automated Prompt Tuning for OOD Detection with Vision-Language Models. ECCV (72) Yabin Zhang, Wenjie Zhu, Chenhang He, Lei Zhang
2024	J	`jnl`	LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models. CoRR Yabin Zhang, Wenjie Zhu, Chenhang He, Lei Zhang
2024	—	`conf`	Motion-Guided Latent Diffusion for Temporally Consistent Real-World Video Super-Resolution. ECCV (44) Xi Yang, Chenhang He, Jianqi Ma, Lei Zhang
2024	—	`conf`	NTIRE 2024 Challenge on Light Field Image Super-Resolution: Methods and Results. CVPR Workshops Yingqian Wang, Zhengyu Liang, Qianyu Chen, Longguang Wang, Jungang Yang, Radu Timofte, Yulan Guo, Wentao Chao, Yiming Kan, Xuechun Wang, Fuqing Duan, Guanghui Wang, Wang xia, Ziqi Wang, Yue Yan, Peiqi Xia, Shunzhou Wang, Yao Lu, Angulia Yang, Kai Jin, Zeqiang Wei, Sha Guo, Mingzhi Gao, Xiuzhuang Zhou, Zhongxin Yu, Shaofei Luo, Cheng Zhong, Shaorui Chen, Long Peng, Yuhong He, Gaosheng Liu, Huanjing Yue, Jingyu Yang, Zhengjian Yao, Jiakui Hu, Lujia Jin, Zhi-Song Liu, Chenhang He, Jun Xiao, Xiuyuan Wang, Zonglin Tian, Yifan Mao, Deyang Liu, Shizheng Li, Ping An
2024	—	`conf`	NTIRE 2024 Restore Any Image Model (RAIM) in the Wild Challenge. CVPR Workshops Jie Liang, Radu Timofte, Qiaosi Yi, Shuaizheng Liu, Lingchen Sun, Rongyuan Wu, Xindong Zhang, Hui Zeng, Lei Zhang, Yibin Huang, Shuai Liu, Yongqiang Li, Chaoyu Feng, Xiaotao Wang, Lei Lei, Yuxiang Chen, Xiangyu Chen, Qiubo Chen, Fengyu Sun, Mengying Cui, Jiaxu Chen, Zhenyu Hu, Jingyun Liu, Wenzhuo Ma, Ce Wang, Hanyou Zheng, Wanjie Sun, Zhenzhong Chen, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiong Dun, Pengzhou Ji, Yujie Xing, Xuquan Wang, Zhanshan Wang, Xinbin Cheng, Jun Xiao, Chenhang He, Xiuyuan Wang, Zhi-Song Liu, Zimeng Miao, Zhicun Yin, Ming Liu, Wangmeng Zuo, Shuai Li
2024	—	`conf`	ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention. ECCV (29) Chenhang He, Ruihuang Li, Guowen Zhang, Lei Zhang
2024	J	`jnl`	ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention. CoRR Chenhang He, Ruihuang Li, Guowen Zhang, Lei Zhang
2024	J	`jnl`	VoxGenesis: Unsupervised Discovery of Latent Speaker Manifold for Speech Synthesis. CoRR Weiwei Lin, Chenhang He, Man-Wai Mak, Jiachen Lian, Kong Aik Lee
2024	A*	`conf`	Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection. NeurIPS Guowen Zhang, Lue Fan, Chenhang He, Zhen Lei, Zhaoxiang Zhang, Lei Zhang
2024	J	`jnl`	Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection. CoRR Guowen Zhang, Lue Fan, Chenhang He, Zhen Lei, Zhaoxiang Zhang, Lei Zhang
2023	A*	`conf`	DynaMask: Dynamic Mask Selection for Instance Segmentation. CVPR Ruihuang Li, Chenhang He, Shuai Li, Yabin Zhang, Lei Zhang
2023	J	`jnl`	DynaMask: Dynamic Mask Selection for Instance Segmentation. CoRR Ruihuang Li, Chenhang He, Shuai Li, Yabin Zhang, Lei Zhang
2023	A*	`conf`	MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences. CVPR Chenhang He, Ruihuang Li, Yabin Zhang, Shuai Li, Lei Zhang
2023	J	`jnl`	MSF: Motion-guided Sequential Fusion for Efficient 3D Object Detection from Point Cloud Sequences. CoRR Chenhang He, Ruihuang Li, Yabin Zhang, Shuai Li, Lei Zhang
2023	J	`jnl`	Motion-Guided Latent Diffusion for Temporally Consistent Real-world Video Super-resolution. CoRR Xi Yang, Chenhang He, Jianqi Ma, Lei Zhang
2023	A*	`conf`	One-to-Few Label Assignment for End-to-End Dense Detection. CVPR Shuai Li, Minghan Li, Ruihuang Li, Chenhang He, Lei Zhang
2023	J	`jnl`	One-to-Few Label Assignment for End-to-End Dense Detection. CoRR Shuai Li, Minghan Li, Ruihuang Li, Chenhang He, Lei Zhang
2023	A*	`conf`	SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation. CVPR Ruihuang Li, Chenhang He, Yabin Zhang, Shuai Li, Liyi Chen, Lei Zhang
2023	J	`jnl`	SIM: Semantic-aware Instance Mask Generation for Box-Supervised Instance Segmentation. CoRR Ruihuang Li, Chenhang He, Yabin Zhang, Shuai Li, Liyi Chen, Lei Zhang
2023	A*	`conf`	Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations. ICML Weiwei Lin, Chenhang He, Man-Wai Mak, Youzhi Tu
2023	J	`jnl`	Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations. CoRR Weiwei Lin, Chenhang He, Man-Wai Mak, Youzhi Tu
2022	A*	`conf`	A Dual Weighting Label Assignment Scheme for Object Detection. CVPR Shuai Li, Chenhang He, Ruihuang Li, Lei Zhang
2022	J	`jnl`	A Dual Weighting Label Assignment Scheme for Object Detection. CoRR Shuai Li, Chenhang He, Ruihuang Li, Lei Zhang
2022	A*	`conf`	Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation. CVPR Ruihuang Li, Shuai Li, Chenhang He, Yabin Zhang, Xu Jia, Lei Zhang
2022	J	`jnl`	Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation. CoRR Ruihuang Li, Shuai Li, Chenhang He, Yabin Zhang, Xu Jia, Lei Zhang
2022	J	`jnl`	Masked Surfel Prediction for Self-Supervised Point Cloud Learning. CoRR Yabin Zhang, Jiehong Lin, Chenhang He, Yongwei Chen, Kui Jia, Lei Zhang
2022	A*	`conf`	Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds. CVPR Chenhang He, Ruihuang Li, Shuai Li, Lei Zhang
2022	J	`jnl`	Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds. CoRR Chenhang He, Ruihuang Li, Shuai Li, Lei Zhang
2021	J	`jnl`	Aug3D-RPN: Improving Monocular 3D Object Detection by Synthetic Images with Virtual Depth. CoRR Chenhang He, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang
2021	J	`jnl`	VerSe: A Vertebrae labelling and segmentation benchmark for multi-detector CT images. Medical Image Anal. Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Zheng Xiangshang, Xu Liming, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke
2020	A*	`conf`	Structure Aware Single-Stage 3D Object Detection From Point Cloud. CVPR Chenhang He, Hui Zeng, Jianqiang Huang, Xian-Sheng Hua, Lei Zhang
2020	J	`jnl`	VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images. CoRR Anjany Sekuboyina, Malek El Husseini, Amirhossein Bayat, Maximilian Löffler, Hans Liebl, Hongwei Li, Giles Tetteh, Jan Kukacka, Christian Payer, Darko Stern, Martin Urschler, Maodong Chen, Dalong Cheng, Nikolas Lessmann, Yujin Hu, Tianfu Wang, Dong Yang, Daguang Xu, Felix Ambellan, Tamaz Amiranashvili, Moritz Ehlke, Hans Lamecker, Sebastian Lehnert, Marilia Lirio, Nicolás Pérez de Olaguer, Heiko Ramm, Manish Sahu, Alexander Tack, Stefan Zachow, Tao Jiang, Xinjun Ma, Christoph Angerman, Xin Wang, Kevin Brown, Alexandre Kirszenberg, Élodie Puybareau, Di Chen, Yiwei Bai, Brandon H. Rapazzo, Timyoas Yeah, Amber Zhang, Shangliang Xu, Feng Hou, Zhiqiang He, Chan Zeng, Xiangshang Zheng, Liming Xu, Tucker J. Netherton, Raymond P. Mumme, Laurence E. Court, Zixun Huang, Chenhang He, Li-Wen Wang, Sai Ho Ling, Lê Duy Huynh, Nicolas Boutry, Roman Jakubícek, Jirí Chmelík, Supriti Mulay, Mohanasankar Sivaprakasam, Johannes C. Paetzold, Suprosanna Shit, Ivan Ezhov, Benedikt Wiestler, Ben Glocker, Alexander Valentinitsch, Markus Rempfler, Björn H. Menze, Jan S. Kirschke