All Papers

Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation

Duo Peng, Zhengbo Zhang, Ping Hu et al.

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification

Wei Tan, Ngoc Dang Nguyen, Lan Du et al.

Harnessing the Power of MLLMs for Transferable Text-to-Image Person ReID

Wentao Tan, Changxing Ding, Jiayu Jiang et al.

Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws

Ning Liu, Yiming Fan, Xianyi Zeng et al.

Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification

Lei Zhai, Shuyuan Yang, Yitong Li et al.

HashPoint: Accelerated Point Searching and Sampling for Neural Rendering

Jiahao Ma, Miaomiao Liu, David Ahmedt-Aristizabal et al.

HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization

Sakib Reza, Yuexi Zhang, Mohsen Moghaddam et al.

HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images

Xihe Yang, Xingyu Chen, Daiheng Gao et al.

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations

Ke Liang, Sihang Zhou, Meng Liu et al.

HAZARD Challenge: Embodied Decision Making in Dynamically Changing Environments

Qinhong Zhou, Sunli Chen, Yisong Wang et al.

HDformer: A Higher

Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals - Ella Lan

HDMixer: Hierarchical Dependency with Extendable Patch for Multivariate Time Series Forecasting

Qihe Huang, Lei Shen, Ruixin Zhang et al.

HDQMF: Holographic Feature Decomposition Using Quantum Algorithms

Prathyush Poduval, Zhuowen Zou, Mohsen Imani

HDRFlow: Real-Time HDR Video Reconstruction with Large Motions

Gangwei Xu, Yujin Wang, Jinwei Gu et al.

Head360: Learning a Parametric 3D Full-Head for Free-View Synthesis in 360°

Yuxiao He, Yiyu Zhuang, Yanwen Wang et al.

HeadGaS: Real-Time Animatable Head Avatars via 3D Gaussian Splatting

Helisa Dhamo, Yinyu Nie, Arthur Moreau et al.

Headless Language Models: Learning without Predicting with Contrastive Weight Tying

Nathan Godey, Éric Clergerie, Benoît Sagot

HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting

Zhenglin Zhou, Fan Ma, Hehe Fan et al.

HEAL-SWIN: A Vision Transformer On The Sphere

Oscar Carlsson, Jan E. Gerken, Hampus Linander et al.

HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping

Hearing Anything Anywhere

Mason Wang, Ryosuke Sawata, Samuel Clarke et al.

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.

HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction

Lanxiang Xing, Haixu Wu, yuezhou ma et al.

Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions

Jingtan Wang, Xiaoqiang Lin, Rui Qiao et al.

HENet: Hybrid Encoding for End-to-end Multi-task 3D Perception from Multi-view Cameras

Zhongyu Xia, ZhiWei Lin, Xinhao Wang et al.

H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer

Yanru Wu, Jianning Wang, Weida Wang et al.

HERGen: Elevating Radiology Report Generation with Longitudinal Data

Fuying Wang, Shenghui Du, Lequan Yu

Hetecooper: Feature Collaboration Graph for Heterogeneous Collaborative Perception

Congzhang Shao, Guiyang Luo, Quan Yuan et al.

Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds

Yanni Ma, Hao Liu, Yun Pei et al.

Heterogeneous Graph Reasoning for Fact Checking over Texts and Tables

Haisong Gong, Weizhi Xu, Shu Wu et al.

Heterogeneous Personalized Federated Learning by Local-Global Updates Mixing via Convergence Rate

Meirui Jiang, Anjie Le, Xiaoxiao Li et al.

Heterogeneous Test-Time Training for Multi-Modal Person Re-identification

Zi Wang, Huaibo Huang, Aihua Zheng et al.

HexGen: Generative Inference of Large Language Model over Heterogeneous Environment

Youhe Jiang, Ran Yan, Xiaozhe Yao et al.

HGAP: Boosting Permutation Invariant and Permutation Equivariant in Multi-Agent Reinforcement Learning via Graph Attention Network

Bor Jiun Lin, Chun-Yi Lee

H-GAP: Humanoid Control with a Generalist Planner

Zhengyao Jiang, Yingchen Xu, Nolan Wagener et al.

HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming

Yang Wu, Yifan Zhang, Zhenxing Liang et al.

HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces

Jiaxin Pan, Mojtaba Nayyeri, Yinan Li et al.

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

Tianpei Zou, Sanqing Qu, Zhijun Li et al.

HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning

Xingtong Yu, Yuan Fang, Zemin Liu et al.

HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion Models

Mengcheng Li, Hongwen Zhang, Yuxiang Zhang et al.

Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?

Shu Li, Ruimin Hu, Suhui Li et al.

Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks

Arjun Karuvally, Terrence Sejnowski, Hava Siegelmann

Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds

Tianrui Lou, Xiaojun Jia, Jindong Gu et al.

HiDiffusion: Unlocking Higher-Resolution Creativity and Efficiency in Pretrained Diffusion Models

Shen Zhang, Zhaowei CHEN, Zhenyu Zhao et al.

Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack

Mingyu Yang, Daizong Liu, Keke Tang et al.

Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning

Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović et al.

HiEI: A Universal Framework for Generating High-quality Emerging Images from Natural Images

Jingmeng Li, Lukang Fu, Surun Yang et al.

Hierarchical Aligned Multimodal Learning for NER on Tweet Posts

Peipei Liu, Hong Li, Yimo Ren et al.

Hierarchical Conditioning of Diffusion Models Using Tree-of-Life for Studying Species Evolution

Mridul Khurana, Arka Daw, M. Maruf et al.

Hierarchical Context Merging: Better Long Context Understanding for Pre-trained LLMs

Woomin Song, Seunghyuk Oh, Sangwoo Mo et al.