Paper Papers
5,964 papers found • Page 37 of 120
Conference
Interweaving Memories of a Siamese Large Language Model
Xin Song, Zhikai Xue, Guoxiu He et al.
Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition
Xingmei Wang, Jinghan Liu, Jiaxiang Meng et al.
Intra and Inter Parser-Prompted Transformers for Effective Image Restoration
Cong Wang, Jinshan Pan, Liyan Wang et al.
Intrinsic Image Decomposition for Robust Self-supervised Monocular Depth Estimation on Reflective Surfaces
Wonhyeok Choi, Kyumin Hwang, Minwoo Choi et al.
InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct
Yutong Wu, Di Huang, Wenxuan Shi et al.
Inverse Reinforcement Learning by Estimating Expertise of Demonstrators
Mark Beliaev, Ramtin Pedarsani
Invertible Projection and Conditional Alignment for Multi-Source Blended-Target Domain Adaptation
Yuwu Lu, Haoyu Huang, Waikeung Wong et al.
Investigating Dynamics of Subjective Anxiety and Behavior due to Personal Space Violations and COVID-19-related Stressors in a Social VR Simulation
Jiyoon Park, Christian Wallraven
Investigating Encoding and Perspective for Augmented Reality Motion Guidance
Jade Kandel, Sriya Kasumarthi, Spiros Tsalikis et al.
Investigating Intersectional Bias in Large Language Models using Confidence Disparities in Coreference Resolution
Falaah Arif Khan, Nivedha Sivakumar, Yinong Oliver Wang et al.
Investigating Relational State Abstraction in Collaborative MARL
Sharlin Utke, Jeremie Houssineau, Giovanni Montana
Investigating the Effect of Visual Cue Density on Situational Awareness during Immersive Navigation
Nicole Weidinger, Tobias Schreck, Bruce H Thomas et al.
Investigating the Effects of Haptic Illusions in Collaborative Virtual Reality
Yannick Weiss, Julian Rasch, Jonas Fischer et al.
Investigating the Potential of Haptic Props for 3D Object Manipulation in Handheld AR
Jonathan Wieland, Maximilian Dürr, Rebecca Frisch et al.
Investigating the Security Threat Arising from “Yes-No” Implicit Bias in Large Language Models
Yanrui Du, Sendong Zhao, Ming Ma et al.
InvSeg: Test-Time Prompt Inversion for Semantic Segmentation
Jiayi Lin, Jiabo Huang, Jian Hu et al.
IOP: An Idempotent-Like Optimization Method on the Pareto Front of Hypernetwork
Hui Wang, Renyu Yang, Jie Sun et al.
IPDN: Image-enhanced Prompt Decoding Network for 3D Referring Expression Segmentation
Qi Chen, Changli Wu, Jiayi Ji et al.
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter
Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang et al.
IRMamba: Pixel Difference Mamba with Layer Restoration for Infrared Small Target Detection
Mingjin Zhang, Xiaolong Li, Fei Gao et al.
Is LLMs Hallucination Usable? LLM-based Negative Reasoning for Fake News Detection
Chaowei Zhang, Zongling Feng, Zewei Zhang et al.
Isometric and Elastic Balance Boards for Virtual Reality Locomotion
Michael Nelson, Christos Mousas
ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency
Yang Ren, Hai Jiang, Menglong Yang et al.
ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO
Daechul Ahn, Yura Choi, San Kim et al.
Is Sarcasm Detection a Step-by-Step Reasoning Process in Large Language Models?
Ben Yao, Yazhou Zhang, Qiuchi Li et al.
Is There No Such Thing as a Bad Question? H4R: HalluciBot for Ratiocination, Rewriting, Ranking, and Routing
William Watson, Nicole Cho, Nishan Srishankar
IsUMap: Manifold Learning and Data Visualization Leveraging Vietoris-Rips Filtrations
Parvaneh Joharinad, Hannaneh Fahimi, Lukas Silvester Barth et al.
Is Your Image a Good Storyteller?
Xiujie Song, Xiaoyi Pang, Haifeng Tang et al.
Iterative Counterfactual Data Augmentation
Mitchell Plyler, Min Chi
Iterative Self-Training with Class-Aware Text-to-Image Synthesis for Visual Task Learning
Xiang Zhang, Wanqing Zhao, Pengyang Li et al.
Iterative Sparse Attention for Long-sequence Recommendation
Guanyu Lin, Jinwei Luo, Yinfeng Li et al.
IterKey: Iterative Keyword Generation with LLMs for Enhanced Retrieval Augmented Generation
Kazuki Hayashi, Hidetaka Kamigaito, Shinya Kouda et al.
IteRPrimE: Zero-shot Referring Image Segmentation with Iterative Grad-CAM Refinement and Primary Word Emphasis
Yuji Wang, Jingchen Ni, Yong Liu et al.
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
Haonan Xu, Yang Yang
"I was truly able to express the image of myself that I have within": Exploring VR Group Therapy Approaches with the LGBTQIA+ community
Kinga Skierś, Danyang Peng, Anish Kundu et al.
IWRN:A Robust Blind Watermarking Method for Artwork Image Copyright Protection Against Noise Attack
Feifei Kou, Yuhan Yao, Siyuan Yao et al.
JailDAM: Jailbreak Detection with Adaptive Memory for Vision-Language Model
Yi Nian, Shenzhe Zhu, Yuehan Qin et al.
JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
Mingzi Wang, Yuan Meng, Chen Tang et al.
JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation
Yao Yao, Peike Li, Boyu Chen et al.
JEN-1 DreamStyler: Customized Musical Concept Learning via Pivotal Parameters Tuning
Boyu Chen, Peike Li, Yao Yao et al.
Jigsaw Puzzles: Splitting Harmful Questions to Jailbreak Large Language Models in Multi-turn Interactions
Hao Yang, Lizhen Qu, Ehsan Shareghi et al.
Joint Class-level and Instance-level Relationship Modeling for Novel Class Discovery
Jiaying Zhou, Qingchao Chen
Joint Knowledge Editing for Information Enrichment and Probability Promotion
Wenhang Shi, Yiren Chen, Shuqing Bian et al.
JoVALE: Detecting Human Actions in Video Using Audiovisual and Language Contexts
Taein Son, Soo Won Seo, Jisong Kim et al.
Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm
Jinrong Zhang, Penghui Wang, Chunxiao Liu et al.
Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance
Muhammad Reza Qorib, Qisheng Hu, Hwee Tou Ng
KAES: Multi-aspect Shared Knowledge Finding and Aligning for Cross-prompt Automated Scoring of Essay Traits
Xia Li, Wenjing Pan
KALAHash: Knowledge-Anchored Low-Resource Adaptation for Deep Hashing
Shu Zhao, Tan Yu, Xiaoshuai Hao et al.
KDAT: Inherent Adversarial Robustness via Knowledge Distillation with Adversarial Tuning for Object Detection Models
Yarin Yerushalmi Levi, Edita Grolman, Idan Yankelev et al.
Kernel-Aware Graph Prompt Learning for Few-Shot Anomaly Detection
Fenfang Tao, Guo-Sen Xie, Fang Zhao et al.