Risultati della ricerca - Lin, Hongbin

Visuomotor Grasping with World Models for Surgical Robots di Lin, Hongbin, Li, Bin, Au, Kwok Wai Samuel

Testo

Multi-Group Equivariant Augmentation for Reinforcement Learning in Robot Manipulation di Lin, Hongbin, Rojas, Juan, Au, Kwok Wai Samuel

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Matryoshka Concept Bottleneck Models di Chen, Ziye, Lin, Hongbin, Li, Jie, Hu, Lijie

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Open-source High-precision Autonomous Suturing Framework With Visual Guidance di Lin, Hongbin, Li, Bin, Liu, Yunhui, Au, Kwok Wai Samuel

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Fully Test-Time Adaptation for Monocular 3D Object Detection di Lin, Hongbin, Zhang, Yifan, Niu, Shuaicheng, Cui, Shuguang, Li, Zhen

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Reference-Sampled Boltzmann Projection for KL-Regularized RLVR: Target-Matched Weighted SFT, Finite One-Shot Gaps, and Policy Mirror Descent di Shu, Yao, Wei, Chenxing, Lin, Hongbin, Qiu, Shuang, Xiong, Hui

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AR1-ZO: Topology-Aware Rank-1 Zeroth-Order Queries for High-Rank LoRA Fine-Tuning di Chen, Ziye, Lin, Hongbin, Zhang, Chenyu, Yan, Xiangda, Yang, Yongjie, Shu, Yao

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Algorithmic Recourse of In-Context Learning for Tabular Data di Dong, Wenshuo, Zhang, Jiaming, Fu, Shaopneg, Lin, Hongbin, Wang, Di, Hu, Lijie

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World Models for General Surgical Grasping di Lin, Hongbin, Li, Bin, Wong, Chun Wai, Rojas, Juan, Chu, Xiangyu, Au, Kwok Wai Samuel

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Towards Multi-dimensional Explanation Alignment for Medical Classification di Hu, Lijie, Lai, Songning, Chen, Wenshuo, Xiao, Hongru, Lin, Hongbin, Yu, Lu, Zhang, Jingfeng, Wang, Di

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DriveGEN: Generalized and Robust 3D Detection in Driving via Controllable Text-to-Image Diffusion Generation di Lin, Hongbin, Guo, Zilu, Zhang, Yifan, Niu, Shuaicheng, Li, Yafeng, Zhang, Ruimao, Cui, Shuguang, Li, Zhen

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Benchmarking and Mitigating Sycophancy in Medical Vision Language Models di Xu, Juangui, Guo, Zikun, Lv, Jingwei, Lin, Hongbin, Yang, Shu, Wen, Jun, Wang, Di, Hu, Lijie

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Editable Concept Bottleneck Models di Hu, Lijie, Ren, Chenyang, Hu, Zhengyu, Lin, Hongbin, Wang, Cheng-Long, Xiong, Hui, Zhang, Jingfeng, Wang, Di

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Graph-Guided Dual-Level Augmentation for 3D Scene Segmentation di Lin, Hongbin, Jiang, Yifan, Xu, Juangui, Xu, Jesse Jiaxi, Lu, Yi, Hu, Zhengyu, Chen, Ying-Cong, Wang, Hao

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PiSA: A Self-Augmented Data Engine and Training Strategy for 3D Understanding with Large Models di Guo, Zilu, Lin, Hongbin, Yuan, Zhihao, Zheng, Chaoda, Qiu, Pengshuo, Jiang, Dongzhi, Zhang, Renrui, Feng, Chun-Mei, Li, Zhen

Testo

FASTopoWM: Fast-Slow Lane Segment Topology Reasoning with Latent World Models di Yang, Yiming, Lin, Hongbin, Luo, Yueru, Fu, Suzhong, Zheng, Chao, Yan, Xinrui, Mei, Shuqi, Tang, Kun, Cui, Shuguang, Li, Zhen

Testo

DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving di Lin, Hongbin, Yang, Yiming, Zheng, Chaoda, Zhang, Yifan, Niu, Shuaicheng, Guo, Zilu, Li, Yafeng, Gui, Gui, Cui, Shuguang, Li, Zhen

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Controllable Concept Bottleneck Models di Lin, Hongbin, Ren, Chenyang, Xu, Juangui, Hu, Zhengyu, Wang, Cheng-Long, Shu, Yao, Xiong, Hui, Zhang, Jingfeng, Wang, Di, Hu, Lijie

Testo

TopoStreamer: Temporal Lane Segment Topology Reasoning in Autonomous Driving di Yang, Yiming, Luo, Yueru, He, Bingkun, Lin, Hongbin, Fu, Suzhong, Zheng, Chao, Cao, Zhipeng, Li, Erlong, Yan, Chao, Cui, Shuguang, Li, Zhen

Testo

X-World: Controllable Ego-Centric Multi-Camera World Models for Scalable End-to-End Driving di Zheng, Chaoda, Li, Sean, Deng, Jinhao, Wang, Zhennan, Chen, Shijia, Xiao, Liqiang, Chi, Ziheng, Lin, Hongbin, Chen, Kangjie, Wang, Boyang, Zhang, Yu, Liu, Xianming

Testo