Kaicheng Yu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 50

Top Topics

Object Detection

Neural Architecture

Top Venues

Comput. Biol. Medicine

Publications

Xinna Lin, Siqi Ma, Junjie Shan, Xiaojing Zhang, Shell Xu Hu, Tiannan Guo, Stan Z. Li, Kaicheng Yu
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science. CoRR (2024)
Kaicheng Yu, Qiang Gao, Zexue Lin, Fei Wang, Peng Zhang, YongDan Liu, Lihua Lu
Investigation of the temperature gradient control in the printing space for the material extrusion of medical biodegradable hydrogel. Comput. Biol. Medicine 168 (2024)
Wei Song, Yadong Li, Jianhua Xu, Guowei Wu, Lingfeng Ming, Kexin Yi, Weihua Luo, Houyi Li, Yi Du, Fangda Guo, Kaicheng Yu
M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark. CoRR (2024)
Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. CoRR (2024)
Enhui Ma, Lijun Zhou, Tao Tang, Zhan Zhang, Dong Han, Junpeng Jiang, Kun Zhan, Peng Jia, Xianpeng Lang, Haiyang Sun, Di Lin, Kaicheng Yu
Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation. CoRR (2024)
Chunyong Hu, Hang Zheng, Kun Li, Jianyun Xu, Weibo Mao, Maochun Luo, Lingxuan Wang, Mingxia Chen, Qihao Peng, Kaixuan Liu, Yiru Zhao, Peihan Hao, Minzhe Liu, Kaicheng Yu
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection. CoRR (2023)
Qingheng Zhang, Haibo Ye, Kaicheng Yu
Mendam: Multi-Expert Network with Distribution-Aware Momentum for Long-Tailed Recognition. ICASSP (2023)
Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, Kaicheng Yu
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout. CoRR (2023)
Shangzhan Zhang, Sida Peng, Yinji ShenTu, Qing Shuai, Tianrun Chen, Kaicheng Yu, Hujun Bao, Xiaowei Zhou
Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields. CoRR (2023)
Lei Yang, Tao Tang, Jun Li, Peng Chen, Kun Yuan, Li Wang, Yi Huang, Xinyu Zhang, Kaicheng Yu
BEVHeight++: Toward Robust Visual Centric 3D Object Detection. CoRR (2023)
Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou, Haotong Lin, Kaicheng Yu, Yiyi Liao, Xiaowei Zhou
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask. CVPR (2023)
Kaicheng Yu, Qiang Gao, Jingfeng Xu, Liang Liu, Lizi Qi, Yuheng Guan, Yifeng Yao, Fangzheng Chen, Peng Zhang, YongDan Liu, Lihua Lu
Computational investigation of a 3D-printed skin substitute with orthotropy in mechanical property. Comput. Biol. Medicine 166 (2023)
Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Tingting Liang, Bing Wang, Peng Chen, Dayang Hao, Yongtao Wang, Xiaodan Liang
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection. CVPR Workshops (2023)
Tengju Ye, Wei Jing, Chunyong Hu, Shikun Huang, Lingping Gao, Fangzhen Li, Jingke Wang, Ke Guo, Wencong Xiao, Weibo Mao, Hang Zheng, Kun Li, Junbo Chen, Kaicheng Yu
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving. CoRR (2023)
Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. CoRR (2023)
Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection. CoRR (2023)
Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training. CoRR (2023)
Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou, Haotong Lin, Kaicheng Yu, Yiyi Liao, Xiaowei Zhou
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask. CoRR (2023)
Hu Zhang, Jianhua Xu, Tao Tang, Haiyang Sun, Xin Yu, Zi Huang, Kaicheng Yu
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection. CoRR (2023)
Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection. CVPR (2023)
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework. NeurIPS (2022)
Bicheng Guo, Shuxuan Guo, Miaojing Shi, Peng Cheng, Shibo He, Jiming Chen, Kaicheng Yu
α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling. CoRR (2022)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. CoRR (2022)
Kaicheng Yu, Tao Tang, Hongwei Xie, Zhiwei Lin, Zhongwei Wu, Zhongyu Xia, Tingting Liang, Haiyang Sun, Jiong Deng, Dayang Hao, Yongtao Wang, Xiaodan Liang, Bing Wang
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection. CoRR (2022)
Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy. ICLR (2022)
Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers. CoRR (2022)
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework. CoRR (2022)
Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang
Knowledge Distillation via the Target-aware Transformer. CoRR (2022)
Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang
Knowledge Distillation via the Target-aware Transformer. CVPR (2022)
Xiaobin Hu, Wenqi Ren, Kaicheng Yu, Kaihao Zhang, Xiaochun Cao, Wei Liu, Bjoern H. Menze
Pyramid Architecture Search for Real-Time Image Deblurring. ICCV (2021)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CoRR (2021)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
An Analysis of Super-Net Heuristics in Weight-Sharing NAS. CoRR (2021)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. CVPR (2021)
Kaicheng Yu, René Ranftl, Mathieu Salzmann
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS. CoRR (2020)
Kun Hao, Jiale Zhao, Kaicheng Yu, Cheng Li, Chuanqi Wang
Path Planning of Mobile Robots Based on a Multi-Population Migration Genetic Algorithm. Sensors 20 (20) (2020)
Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings
Generalized Class Incremental Learning. CVPR Workshops (2020)
Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Linbo He, Yushan Zhang, Song Yan, Jinyu Yang, Gustavo Fernández, Alexander G. Hauptmann, Alireza Memarmoghadam, Álvaro García-Martín, Andreas Robinson, Anton Varfolomieiev, Awet Haileslassie Gebrehiwot, Bedirhan Uzun, Bin Yan, Bing Li, Chen Qian, Chi-Yi Tsai, Christian Micheloni, Dong Wang, Fei Wang, Fei Xie, Felix Järemo Lawin, Fredrik Gustafsson, Gian Luca Foresti, Goutam Bhat, Guangqi Chen, Haibin Ling, Haitao Zhang, Hakan Cevikalp, Haojie Zhao, Haoran Bai, Hari Chandana Kuchibhotla, Hasan Saribas, Heng Fan, Hossein Ghanei-Yakhdan, Houqiang Li, Houwen Peng, Huchuan Lu, Hui Li, Javad Khaghani, Jesús Bescós, Jianhua Li, Jianlong Fu, Jiaqian Yu, Jingtao Xu, Josef Kittler, Jun Yin, Junhyun Lee, Kaicheng Yu, Kaiwen Liu, Kang Yang, Kenan Dai, Li Cheng, Li Zhang, Lijun Wang, Linyuan Wang, Luc Van Gool, Luca Bertinetto, Matteo Dunnhofer, Miao Cheng, Mohana Murali Dasari, Ning Wang, Pengyu Zhang, Philip H. S. Torr, Qiang Wang, Radu Timofte, Rama Krishna Sai Gorthi, Seokeon Choi, Seyed Mojtaba Marvasti-Zadeh, Shao-Chuan Zhao, Shohreh Kasaei, Shoumeng Qiu, Shuhao Chen, Thomas B. Schön, Tianyang Xu, Wei Lu, Weiming Hu, Wengang Zhou, Xi Qiu, Xiao Ke, Xiao-Jun Wu, Xiaolin Zhang, Xiaoyun Yang, Xuefeng Zhu, Yingjie Jiang, Yingming Wang, Yiwei Chen, Yu Ye, Yuezhou Li, Yuncon Yao, Yunsung Lee, Yuzhang Gu, Zezhou Wang, Zhangyong Tang, Zhen-Hua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma
The Eighth Visual Object Tracking VOT2020 Challenge Results. ECCV Workshops (5) (2020)
Kun Hao, Qixin Xue, Cheng Li, Kaicheng Yu
A Hybrid Localization Algorithm Based on Doppler Shift and AOA for an Underwater Mobile Node. IEEE Access 8 (2020)
Kun Hao, Kaicheng Yu, Zijun Gong, Xiujuan Du, Yonglei Liu, Lu Zhao
An Enhanced AUV- Aided TDoA Localization Algorithm for Underwater Acoustic Sensor Networks. Mob. Networks Appl. 25 (5) (2020)
Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann
Evaluating The Search Phase of Neural Architecture Search. ICLR (2020)
Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat
Overcoming Multi-model Forgetting. ICML (2019)
Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
Recurrent U-Net for Resource-Constrained Segmentation. ICCV (2019)
Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, Mathieu Salzmann
Evaluating the Search Phase of Neural Architecture Search. CoRR (2019)
Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
Recurrent U-Net for Resource-Constrained Segmentation. CoRR (2019)
Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat
Overcoming Multi-Model Forgetting. CoRR (2019)
Kaicheng Yu, Mathieu Salzmann
Statistically Motivated Second Order Pooling. CoRR (2018)
Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation. CoRR (2018)
Kaicheng Yu, Mathieu Salzmann
Statistically-Motivated Second-Order Pooling. ECCV (7) (2018)
Kaicheng Yu, Mathieu Salzmann
Second-order Convolutional Neural Networks. CoRR (2017)