Kaicheng Yu

89 papers A* 19A 2Misc 1Journal 60Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
A transformer-based framework for cross-material in situ monitoring in extrusion-based bioprinting.
Adv. Eng. Informatics
Jiayi Zhang, Kaicheng Yu, Yifeng Yao, Lihua Lu, Qiang Gao, Peng Zhang, Guoyin Shang, Swee Leong Sing
2026 J jnl
Aero-MambaNet: A unified mesh-mamba framework for physics-consistent aerodynamic surrogate modeling.
Expert Syst. Appl.
Wei Zhang, Kaicheng Yu, Lijie Su, Swee Leong Sing
2026 A* conf
CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving.
AAAI
Enhui Ma, Lijun Zhou, Tao Tang, Jiahuan Zhang, Junpeng Jiang, Zhan Zhang, Dong Han, Kun Zhan, Xueyang Zhang, Xianpeng Lang, Haiyang Sun, Xia Zhou, Di Lin, Kaicheng Yu
2026 J jnl
DeepGen 1.0: A Lightweight Unified Multimodal Model for Advancing Image Generation and Editing.
CoRR
Dianyi Wang, Ruihang Li, Feng Han, Chaofan Ma, Wei Song, Siyuan Wang, Yibin Wang, Yi Xin, Hongjian Liu, Zhixiong Zhang, Shengyuan Ding, Tianhang Wang, Zhenglin Cheng, Tao Lin, Cheng Jin, Kaicheng Yu, Jingjing Chen, Wenjie Wang, Zhongyu Wei, Jiaqi Wang
2026 J jnl
DriveCombo: Benchmarking Compositional Traffic Rule Reasoning in Autonomous Driving.
CoRR
Enhui Ma, Jiahuan Zhang, Guantian Zheng, Tao Tang, Shengbo Eben Li, Yuhang Lu, Xia Zhou, Xueyang Zhang, Yifei Zhan, Kun Zhan, Zhihui Hao, Xianpeng Lang, Kaicheng Yu
2026 A* conf
HEV Generative Sandbox: A Framework for Assessing Domain-Specific Social Risks Through Human-LLM Simulation.
AAAI
Yiran Liu, Zhiyi Hou, Xiaoang Xu, Shuo Wang, Huijia Wu, Kaicheng Yu, Yang Yu, ChengXiang Zhai
2026 J jnl
MG-LDM: A multimodal guided latent diffusion model with Mamba-based temporal encoding for inverse topological design of tissue engineering skin substitutes.
Adv. Eng. Informatics
Kaicheng Yu, Wei Zhang, Lihua Lu, Zexue Lin, Ben Chen, Qiang Gao, Guoyin Shang, Peng Zhang
2026 J jnl
TO-MambaLDM: Multi-physics informed Mamba-enhanced latent diffusion for cooling structure topology optimization.
Adv. Eng. Informatics
Wei Zhang, Kaicheng Yu, Lihua Lu, Lijie Su, Swee Leong Sing
2026 J jnl
TriTopo-LGDM: A reverse design method for trabecular bone scaffolds integrating topology optimization and latent graph diffusion models.
Adv. Eng. Informatics
Wei Zhang, Kaicheng Yu, Lijie Su, Yifeng Yao, Lihua Lu, Swee Leong Sing
2025 J jnl
Ascending the Infinite Ladder: Benchmarking Spatial Deformation Reasoning in Vision-Language Models.
CoRR
Jiahuan Zhang, Shunwen Bai, Tianheng Wang, Kaiwen Guo, Kai Han, Guozheng Rao, Kaicheng Yu
2025 J jnl
Autoregressive Semantic Visual Reconstruction Helps VLMs Understand Better.
CoRR
Dianyi Wang, Wei Song, Yikun Wang, Siyuan Wang, Kaicheng Yu, Zhongyu Wei, Jiaqi Wang
2025 J jnl
BEVHeight++: Toward Robust Visual Centric 3D Object Detection.
IEEE Trans. Pattern Anal. Mach. Intell.
Lei Yang, Tao Tang, Jun Li, Kun Yuan, Kai Wu, Peng Chen, Li Wang, Yi Huang, Lei Li, Xinyu Zhang, Kaicheng Yu
2025 A conf
CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting.
IROS
Haoran Xu, Saining Zhang, Peishuo Li, Baijun Ye, Xiaoxue Chen, Huan-ang Gao, Jv Zheng, Xiaowei Song, Ziqiao Peng, Run Miao, Jinrang Jia, Yifeng Shi, Guangqi Yi, Hang Zhao, Hao Tang, Hongyang Li, Kaicheng Yu, Hao Zhao
2025 J jnl
CRUISE: Cooperative Reconstruction and Editing in V2X Scenarios using Gaussian Splatting.
CoRR
Haoran Xu, Saining Zhang, Peishuo Li, Baijun Ye, Xiaoxue Chen, Huan-ang Gao, Jv Zheng, Xiaowei Song, Ziqiao Peng, Run Miao, Jinrang Jia, Yifeng Shi, Guangqi Yi, Hang Zhao, Hao Tang, Hongyang Li, Kaicheng Yu, Hao Zhao
2025 A* conf
CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.
ICML
Yuxuan Zhu, Antony Kellermann, Dylan Bowman, Philip Li, Akul Gupta, Adarsh Danda, Richard Fang, Conner Jensen, Eric Ihli, Jason Benn, Jet Geronimo, Avi Dhir, Sudhit Rao, Kaicheng Yu, Twm Stone, Daniel Kang
2025 J jnl
CVE-Bench: A Benchmark for AI Agents' Ability to Exploit Real-World Web Application Vulnerabilities.
CoRR
Yuxuan Zhu, Antony Kellermann, Dylan Bowman, Philip Li, Akul Gupta, Adarsh Danda, Richard Fang, Conner Jensen, Eric Ihli, Jason Benn, Jet Geronimo, Avi Dhir, Sudhit Rao, Kaicheng Yu, Twm Stone, Daniel Kang
2025 J jnl
CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving.
CoRR
Enhui Ma, Lijun Zhou, Tao Tang, Jiahuan Zhang, Junpeng Jiang, Zhan Zhang, Dong Han, Kun Zhan, Xueyang Zhang, Xianpeng Lang, Haiyang Sun, Xia Zhou, Di Lin, Kaicheng Yu
2025 A conf
Design and Development of a Deformable Spherical Robot for Amphibious Applications
IROS
Le Xu, Ruoyu Ren, Xiaojie Wei, Hao Lee, Hank Zhang, Kaicheng Yu, Ye Li, Chenyu Liu, Siyu Gao, Lihua Lu
2025 J jnl
Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving.
CoRR
Mingyi Wang, Jingke Wang, Tengju Ye, Junbo Chen, Kaicheng Yu
2025 J jnl
DriveMRP: Enhancing Vision-Language Models with Synthetic Motion Data for Motion Risk Prediction.
CoRR
Zhiyi Hou, Enhui Ma, Fang Li, Zhiyi Lai, Kalok Ho, Zhanqian Wu, Lijun Zhou, Long Chen, Chitian Sun, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Kaicheng Yu
2025 J jnl
DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies.
CoRR
Wei Song, Yuran Wang, Zijia Song, Yadong Li, Haoze Sun, Weipeng Chen, Zenan Zhou, Jianhua Xu, Jiaqi Wang, Kaicheng Yu
2025 J jnl
MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving.
CoRR
Haiguang Wang, Daqi Liu, Hongwei Xie, Haisong Liu, Enhui Ma, Kaicheng Yu, Limin Wang, Bing Wang
2025 A* conf
OmniGen: Unified Multimodal Sensor Generation for Autonomous Driving.
ACM Multimedia
Tao Tang, Enhui Ma, Xia Zhou, Letian Wang, Tianyi Yan, Xueyang Zhang, Kun Zhan, Peng Jia, Xianpeng Lang, Jia-Wang Bian, Kaicheng Yu, Xiaodan Liang
2025 J jnl
OmniGen: Unified Multimodal Sensor Generation for Autonomous Driving.
CoRR
Tao Tang, Enhui Ma, Xia Zhou, Letian Wang, Tianyi Yan, Xueyang Zhang, Kun Zhan, Peng Jia, Xianpeng Lang, Jia-Wang Bian, Kaicheng Yu, Xiaodan Liang
2025 — conf
SR-LLM: Rethinking the Structured Representation in Large Language Model.
ACL (1)
Jiahuan Zhang, Tianheng Wang, Ziyi Huang, Yulong Wu, Hanqing Wu, DongbaiChen DongbaiChen, Linfeng Song, Yue Zhang, Guozheng Rao, Kaicheng Yu
2025 J jnl
SR-LLM: Rethinking the Structured Representation in Large Language Model.
CoRR
Jiahuan Zhang, Tianheng Wang, Hanqing Wu, Ziyi Huang, Yulong Wu, Dongbai Chen, Linfeng Song, Yue Zhang, Guozheng Rao, Kaicheng Yu
2025 J jnl
Semantic-DARTS: Elevating Semantic Learning for Mobile Differentiable Architecture Search.
IEEE Internet Things J.
Bicheng Guo, Shibo He, Miaojing Shi, Kaicheng Yu, Jiming Chen, Xuemin Shen
2025 J jnl
Strategic priorities for transformative progress in advancing biology with proteomics and artificial intelligence.
CoRR
Yingying Sun, Jun A, Zhiwei Liu, Rui Sun, Liujia Qian, Samuel H. Payne, Wout Bittremieux, Markus Ralser, Chen Li, Yi Chen, Zhen Dong, Yasset Pérez-Riverol, Asif Khan, Chris Sander, Ruedi Aebersold, Juan Antonio Vizcaíno, Jonathan R. Krieger, Jianhua Yao, Han Wen, Linfeng Zhang, Yunping Zhu, Yue Xuan, Benjamin Boyang Sun, Liang Qiao, Henning Hermjakob, Haixu Tang, Huanhuan Gao, Yamin Deng, Qing Zhong, Cheng Chang, Nuno Bandeira, Ming Li, Weinan E, Siqi Sun, Yuedong Yang, Gilbert S. Omenn, Yue Zhang, Ping Xu, Yan Fu, Xiaowen Liu, Christopher M. Overall, Yu Wang, Eric W. Deutsch, Luonan Chen, Jürgen Cox, Vadim Demichev, Fuchu He, Jiaxing Huang, Huilin Jin, Chao Liu, Nan Li, Zhongzhi Luan, Jiangning Song, Kaicheng Yu, Wanggen Wan, Tai Wang, Kang Zhang, Le Zhang, Peter A. Bell, Matthias Mann, Bing Zhang, Tiannan Guo
2025 J jnl
THE-Tree: Can Tracing Historical Evolution Enhance Scientific Verification and Reasoning?
CoRR
Xin Wang, Jiyao Liu, Yulong Xiao, Junzhi Ning, Lihao Liu, Junjun He, Botian Shi, Kaicheng Yu
2024 A* conf
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.
CVPR
Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang
2024 J jnl
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis.
CoRR
Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang
2024 J jnl
Baichuan-Omni Technical Report.
CoRR
Yadong Li, Haoze Sun, Mingan Lin, Tianpeng Li, Guosheng Dong, Tao Zhang, Bowen Ding, Wei Song, Zhenglin Cheng, Yuqi Huo, Song Chen, Xu Li, Da Pan, Shusen Zhang, Xin Wu, Zheng Liang, Jun Liu, Keer Lu, Yaqi Zhao, Yanjun Shen, Fan Yang, Kaicheng Yu, Tao Lin, Jianhua Xu, Zenan Zhou, Weipeng Chen
2024 J jnl
BioKGBench: A Knowledge Graph Checking Benchmark of AI Agent for Biomedical Science.
CoRR
Xinna Lin, Siqi Ma, Junjie Shan, Xiaojing Zhang, Shell Xu Hu, Tiannan Guo, Stan Z. Li, Kaicheng Yu
2024 J jnl
DiVE: DiT-based Video Generation with Enhanced Control.
CoRR
Junpeng Jiang, Gangyi Hong, Lijun Zhou, Enhui Ma, Hengtong Hu, Xia Zhou, Jie Xiang, Fan Liu, Kaicheng Yu, Haiyang Sun, Kun Zhan, Peng Jia, Miao Zhang
2024 J jnl
Gentle-CLIP: Exploring Aligned Semantic In Low-Quality Multimodal Data With Soft Alignment.
CoRR
Zijia Song, Zelin Zang, Yelin Wang, Guozheng Yang, Jiangbin Zheng, Kaicheng Yu, Wanyu Chen, Stan Z. Li
2024 J jnl
Investigation of the temperature gradient control in the printing space for the material extrusion of medical biodegradable hydrogel.
Comput. Biol. Medicine
Kaicheng Yu, Qiang Gao, Zexue Lin, Fei Wang, Peng Zhang, YongDan Liu, Lihua Lu
2024 A* conf
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.
ACM Multimedia
Tang Tao, Longfei Gao, Guangrun Wang, Yixing Lao, Peng Chen, Hengshuang Zhao, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu
2024 A* conf
LiT: Unifying LiDAR "Languages" with LiDAR Translator.
NeurIPS
Yixing Lao, Tao Tang, Xiaoyang Wu, Peng Chen, Kaicheng Yu, Hengshuang Zhao
2024 J jnl
M3GIA: A Cognition Inspired Multilingual and Multimodal General Intelligence Ability Benchmark.
CoRR
Wei Song, Yadong Li, Jianhua Xu, Guowei Wu, Lingfeng Ming, Kexin Yi, Weihua Luo, Houyi Li, Yi Du, Fangda Guo, Kaicheng Yu
2024 — conf
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection.
ECCV (84)
Hu Zhang, Jianhua Xu, Tao Tang, Haiyang Sun, Xin Yu, Zi Huang, Kaicheng Yu
2024 A* conf
Towards Large-Scale 3D Representation Learning with Multi-Dataset Point Prompt Training.
CVPR
Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao
2024 A* conf
Tutorial: Large Language-Vision Model in Society.
ACM Multimedia
Kaicheng Yu, Zhuang Shao, Siyuan Qi, Dongfang Liu
2024 J jnl
Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video Generation.
CoRR
Enhui Ma, Lijun Zhou, Tao Tang, Zhan Zhang, Dong Han, Junpeng Jiang, Kun Zhan, Peng Jia, Xianpeng Lang, Haiyang Sun, Di Lin, Kaicheng Yu
2023 J jnl
BEVControl: Accurately Controlling Street-view Elements with Multi-perspective Consistency via BEV Sketch Layout.
CoRR
Kairui Yang, Enhui Ma, Jibin Peng, Qing Guo, Di Lin, Kaicheng Yu
2023 J jnl
BEVHeight++: Toward Robust Visual Centric 3D Object Detection.
CoRR
Lei Yang, Tao Tang, Jun Li, Peng Chen, Kun Yuan, Li Wang, Yi Huang, Xinyu Zhang, Kaicheng Yu
2023 A* conf
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection.
CVPR
Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen
2023 J jnl
BEVHeight: A Robust Framework for Vision-based Roadside 3D Object Detection.
CoRR
Lei Yang, Kaicheng Yu, Tao Tang, Jun Li, Kun Yuan, Li Wang, Xinyu Zhang, Peng Chen
2023 — conf
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection.
CVPR Workshops
Kaicheng Yu, Tang Tao, Hongwei Xie, Zhiwei Lin, Tingting Liang, Bing Wang, Peng Chen, Dayang Hao, Yongtao Wang, Xiaodan Liang
2023 J jnl
Computational investigation of a 3D-printed skin substitute with orthotropy in mechanical property.
Comput. Biol. Medicine
Kaicheng Yu, Qiang Gao, Jingfeng Xu, Liang Liu, Lizi Qi, Yuheng Guan, Yifeng Yao, Fangzheng Chen, Peng Zhang, YongDan Liu, Lihua Lu
2023 J jnl
Dyn-E: Local Appearance Editing of Dynamic Neural Radiance Fields.
CoRR
Shangzhan Zhang, Sida Peng, Yinji ShenTu, Qing Shuai, Tianrun Chen, Kaicheng Yu, Hujun Bao, Xiaowei Zhou
2023 J jnl
FusionAD: Multi-modality Fusion for Prediction and Planning Tasks of Autonomous Driving.
CoRR
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
2023 J jnl
FusionFormer: A Multi-sensory Fusion in Bird's-Eye-View and Temporal Consistent Transformer for 3D Object Detection.
CoRR
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
2023 J jnl
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields.
CoRR
Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu
2023 Misc conf
Mendam: Multi-Expert Network with Distribution-Aware Momentum for Long-Tailed Recognition.
ICASSP
Qingheng Zhang, Haibo Ye, Kaicheng Yu
2023 J jnl
OpenSight: A Simple Open-Vocabulary Framework for LiDAR-Based Object Detection.
CoRR
Hu Zhang, Jianhua Xu, Tao Tang, Haiyang Sun, Xin Yu, Zi Huang, Kaicheng Yu
2023 A* conf
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask.
CVPR
Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou, Haotong Lin, Kaicheng Yu, Yiyi Liao, Xiaowei Zhou
2023 J jnl
Painting 3D Nature in 2D: View Synthesis of Natural Scenes from a Single Semantic Mask.
CoRR
Shangzhan Zhang, Sida Peng, Tianrun Chen, Linzhan Mou, Haotong Lin, Kaicheng Yu, Yiyi Liao, Xiaowei Zhou
2023 J jnl
Towards Large-scale 3D Representation Learning with Multi-dataset Point Prompt Training.
CoRR
Xiaoyang Wu, Zhuotao Tian, Xin Wen, Bohao Peng, Xihui Liu, Kaicheng Yu, Hengshuang Zhao
2022 J jnl
An Analysis of Super-Net Heuristics in Weight-Sharing NAS.
IEEE Trans. Pattern Anal. Mach. Intell.
Kaicheng Yu, René Ranftl, Mathieu Salzmann
2022 A* conf
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework.
NeurIPS
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang
2022 J jnl
BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework.
CoRR
Tingting Liang, Hongwei Xie, Kaicheng Yu, Zhongyu Xia, Zhiwei Lin, Yongtao Wang, Tao Tang, Bing Wang, Zhi Tang
2022 J jnl
Benchmarking the Robustness of LiDAR-Camera Fusion for 3D Object Detection.
CoRR
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
2022 A* conf
Knowledge Distillation via the Target-aware Transformer.
CVPR
Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang
2022 J jnl
Knowledge Distillation via the Target-aware Transformer.
CoRR
Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang
2022 J jnl
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers.
CoRR
Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang
2022 A* conf
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy.
ICLR
Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter
2022 J jnl
NAS-Bench-Suite: NAS Evaluation is (Now) Surprisingly Easy.
CoRR
Yash Mehta, Colin White, Arber Zela, Arjun Krishnakumar, Guri Zabergja, Shakiba Moradian, Mahmoud Safari, Kaicheng Yu, Frank Hutter
2022 J jnl
α DARTS Once More: Enhancing Differentiable Architecture Search by Masked Image Modeling.
CoRR
Bicheng Guo, Shuxuan Guo, Miaojing Shi, Peng Cheng, Shibo He, Jiming Chen, Kaicheng Yu
2021 J jnl
An Analysis of Super-Net Heuristics in Weight-Sharing NAS.
CoRR
Kaicheng Yu, René Ranftl, Mathieu Salzmann
2021 — —
From Human-Designed Convolutional Neural Networks Towards Robust Neural Architecture Search.
Kaicheng Yu
2021 A* conf
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search.
CVPR
Kaicheng Yu, René Ranftl, Mathieu Salzmann
2021 J jnl
Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search.
CoRR
Kaicheng Yu, René Ranftl, Mathieu Salzmann
2021 A* conf
Pyramid Architecture Search for Real-Time Image Deblurring.
ICCV
Xiaobin Hu, Wenqi Ren, Kaicheng Yu, Kaihao Zhang, Xiaochun Cao, Wei Liu, Bjoern H. Menze
2020 J jnl
A Hybrid Localization Algorithm Based on Doppler Shift and AOA for an Underwater Mobile Node.
IEEE Access
Kun Hao, Qixin Xue, Cheng Li, Kaicheng Yu
2020 J jnl
An Enhanced AUV- Aided TDoA Localization Algorithm for Underwater Acoustic Sensor Networks.
Mob. Networks Appl.
Kun Hao, Kaicheng Yu, Zijun Gong, Xiujuan Du, Yonglei Liu, Lu Zhao
2020 A* conf
Evaluating The Search Phase of Neural Architecture Search.
ICLR
Kaicheng Yu, Christian Sciuto, Martin Jaggi, Claudiu Musat, Mathieu Salzmann
2020 — conf
Generalized Class Incremental Learning.
CVPR Workshops
Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings
2020 J jnl
How to Train Your Super-Net: An Analysis of Training Heuristics in Weight-Sharing NAS.
CoRR
Kaicheng Yu, René Ranftl, Mathieu Salzmann
2020 J jnl
Path Planning of Mobile Robots Based on a Multi-Population Migration Genetic Algorithm.
Sensors
Kun Hao, Jiale Zhao, Kaicheng Yu, Cheng Li, Chuanqi Wang
2020 — conf
The Eighth Visual Object Tracking VOT2020 Challenge Results.
ECCV Workshops (5)
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 Subrahmanyam 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, Zhenhua Feng, Zhijun Mai, Zhipeng Zhang, Zhirong Wu, Ziang Ma
2019 J jnl
Evaluating the Search Phase of Neural Architecture Search.
CoRR
Christian Sciuto, Kaicheng Yu, Martin Jaggi, Claudiu Musat, Mathieu Salzmann
2019 J jnl
Overcoming Multi-Model Forgetting.
CoRR
Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat
2019 A* conf
Overcoming Multi-model Forgetting.
ICML
Yassine Benyahia, Kaicheng Yu, Kamil Bennani-Smires, Martin Jaggi, Anthony C. Davison, Mathieu Salzmann, Claudiu Musat
2019 A* conf
Recurrent U-Net for Resource-Constrained Segmentation.
ICCV
Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
2019 J jnl
Recurrent U-Net for Resource-Constrained Segmentation.
CoRR
Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
2018 J jnl
Beyond One Glance: Gated Recurrent Architecture for Hand Segmentation.
CoRR
Wei Wang, Kaicheng Yu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
2018 J jnl
Statistically Motivated Second Order Pooling.
CoRR
Kaicheng Yu, Mathieu Salzmann
2018 — conf
Statistically-Motivated Second-Order Pooling.
ECCV (7)
Kaicheng Yu, Mathieu Salzmann
2017 J jnl
Second-order Convolutional Neural Networks.
CoRR
Kaicheng Yu, Mathieu Salzmann