All Papers
34,598 papers found • Page 548 of 692
Conference
How Well Can LLMs Negotiate? NegotiationArena Platform and Analysis
Federico Bianchi, Patrick John Chia, Mert Yuksekgonul et al.
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li, Alan Yuille, Zongwei Zhou
HPE-Li: WiFi-enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation
Gian Toan D., Tien Dac Lai, Thien Van Luong et al.
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion
Junhao Su, Chenghao He, Feiyu Zhu et al.
HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation
Linglin Jing, Yiming Ding, Yunpeng Gao et al.
HPNet: Dynamic Trajectory Forecasting with Historical Prediction Attention
Xiaolong Tang, Meina Kan, Shiguang Shan et al.
HR-Pro: Point-Supervised Temporal Action Localization via Hierarchical Reliability Propagation
Huaxin Zhang, Xiang Wang, Xiaohao Xu et al.
HRVDA: High-Resolution Visual Document Assistant
Chaohu Liu, Kun Yin, Haoyu Cao et al.
HSR: Holistic 3D Human-Scene Reconstruction from Monocular Videos
Lixin Xue, Chen Guo, Chengwei Zheng et al.
HUGS: Holistic Urban 3D Scene Understanding via Gaussian Splatting
Hongyu Zhou, Jiahao Shao, Lu Xu et al.
HUGS: Human Gaussian Splats
Muhammed Kocabas, Jen-Hao Rick Chang, James Gabriel et al.
Human Alignment of Large Language Models through Online Preference Optimisation
Daniele Calandriello, Zhaohan Guo, REMI MUNOS et al.
Human Feedback is not Gold Standard
Tom Hosking, Phil Blunsom, Max Bartolo
Human Gaussian Splatting: Real-time Rendering of Animatable Avatars
Arthur Moreau, Jifei Song, Helisa Dhamo et al.
HumanGaussian: Text-Driven 3D Human Generation with Gaussian Splatting
Xian Liu, Xiaohang Zhan, Jiaxiang Tang et al.
Human Hair Reconstruction with Strand-Aligned 3D Gaussians
Egor Zakharov, Vanessa Sklyarova, Michael J. Black et al.
Human-in-the-Loop Visual Re-ID for Population Size Estimation
Gustavo Perez, Daniel Sheldon, Grant Van Horn et al.
Human-like Category Learning by Injecting Ecological Priors from Large Language Models into Neural Networks
Akshay Kumar Jagadish, Julian Coda-Forno, Mirko Thalmann et al.
Human Motion Diffusion as a Generative Prior
Yonatan Shafir, Guy Tevet, Roy Kapon et al.
Human Motion Forecasting in Dynamic Domain Shifts: A Homeostatic Continual Test-time Adaptation Framework
Qiongjie Cui, Huaijiang Sun, Bin Li et al.
Human Motion Prediction Under Unexpected Perturbation
Jiangbei Yue, Baiyi Li, Julien Pettré et al.
HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses
Caoyuan Ma, Yu-Lun Liu, Zhixiang Wang et al.
HumanNorm: Learning Normal Diffusion Model for High-quality and Realistic 3D Human Generation
Xin Huang, Ruizhi Shao, Qi Zhang et al.
Human Pose Recognition via Occlusion-Preserving Abstract Images
Saad Manzur, Wayne B Hayes
HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible Guidance
Guian Fang, Wenbiao Yan, Yuanfan Guo et al.
HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion
Jingbo Zhang, Xiaoyu Li, Qi Zhang et al.
HumanTOMATO: Text-aligned Whole-body Motion Generation
Shunlin Lu, Ling-Hao Chen, Ailing Zeng et al.
Human vs. Generative AI in Content Creation Competition: Symbiosis or Conflict?
Fan Yao, Chuanhao Li, Denis Nekipelov et al.
HumMUSS: Human Motion Understanding using State Space Models
Arnab Mondal, Stefano Alletto, Denis Tome
HUMOS: Human Motion Model Conditioned on Body Shape
Shashank Tripathi, Omid Taheri, Christoph Lassner et al.
HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes
Yichen Yao, Zimo Jiang, YUJING SUN et al.
Hunting Attributes: Context Prototype-Aware Learning for Weakly Supervised Semantic Segmentation
feilong tang, Zhongxing Xu, Zhaojun QU et al.
H-V2X: A Large Scale Highway Dataset for BEV Perception
Chang Liu, MingXu zhu, Cong Ma
HVCLIP: High-dimensional Vector in CLIP for Unsupervised Domain Adaptation
Noranart Vesdapunt, Kah Kuen Fu, Yue Wu et al.
H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration
Morteza Ghahremani, Mohammad Khateri, Bailiang Jian et al.
Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response
Junyi Zou, Matthew Levine, Dessi Zaharieva et al.
HybridBooth: Hybrid Prompt Inversion for Efficient Subject-Driven Generation
Shanyan Guan, Yanhao Ge, Ying Tai et al.
Hybrid Directional Graph Neural Network for Molecules
Junyi An, Chao Qu, Zhipeng Zhou et al.
Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners
Bowen Shi, XIAOPENG ZHANG, Yaoming Wang et al.
Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching
Lennart Bastian, Yizheng Xie, Nassir Navab et al.
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations
Yilan Dong, Chunlin Yu, Ruiyang Ha et al.
Hybrid Internal Model: Learning Agile Legged Locomotion with Simulated Robot Response
Junfeng Long, ZiRui Wang, Quanyi Li et al.
Hybrid Inverse Reinforcement Learning
Juntao Ren, Gokul Swamy, Steven Wu et al.
Hybrid LLM: Cost-Efficient and Quality-Aware Query Routing
Dujian Ding, Ankur Mallick, Chi Wang et al.
HybridNeRF: Efficient Neural Rendering via Adaptive Volumetric Surfaces
Haithem Turki, Vasu Agrawal, Samuel Rota Bulò et al.
Hybrid Neural Representations for Spherical Data
Hyomin Kim, Yunhui Jang, Jaeho Lee et al.
Hybrid Proposal Refiner: Revisiting DETR Series from the Faster R-CNN Perspective
Jinjing Zhao, Fangyun Wei, Chang Xu
Hybrid Reinforcement Learning from Offline Observation Alone
Yuda Song, J. Bagnell, Aarti Singh
Hybrid Sharing for Multi-Label Image Classification
Zihao Yin, Chen Gan, Kelei He et al.
Hybrid-SORT: Weak Cues Matter for Online Multi-Object Tracking
Mingzhan Yang, Guangxin Han, Bin Yan et al.