Poster Papers
24,624 papers found • Page 133 of 493
Conference
HyPlaneHead: Rethinking Tri-plane-like Representations in Full-Head Image Synthesis
Heyuan Li, Kenkun Liu, Lingteng Qiu et al.
Hypo3D: Exploring Hypothetical Reasoning in 3D
Ye Mao, Weixun Luo, Junpeng Jing et al.
HypoBootstrap: A Bootstrapping Framework for Inductive Reasoning
Si Chen, Yifei Li, Richong Zhang
HyPoGen: Optimization-Biased Hypernetworks for Generalizable Policy Generation
Hanxiang Ren, Li Sun, Xulong Wang et al.
Hypothesis Testing for Generalized Thurstone Models
Anuran Makur, Japneet Singh
Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language Models
Logan Cross, Violet Xiang, Agam Bhatia et al.
HYPRL: Reinforcement Learning of Control Policies for Hyperproperties
Tzu-Han Hsu, Arshia Rafieioskouei, Borzoo Bonakdarpour
HyRF: Hybrid Radiance Fields for Memory-efficient and High-quality Novel View Synthesis
Zipeng Wang, Dan Xu
HyTIP: Hybrid Temporal Information Propagation for Masked Conditional Residual Video Coding
Yi-Hsin Chen, Yi-Chen Yao, Kuan-Wei Ho et al.
I2-NeRF: Learning Neural Radiance Fields Under Physically-Grounded Media Interactions
Shuhong Liu, Lin Gu, Ziteng Cui et al.
I2V3D: Controllable Image-to-video Generation with 3D Guidance
Zhiyuan Zhang, Dongdong Chen, Jing Liao
I2VControl-Camera: Precise Video Camera Control with Adjustable Motion Strength
Wanquan Feng, Jiawei Liu, Pengqi Tu et al.
I2VControl: Disentangled and Unified Video Motion Synthesis Control
Wanquan Feng, Tianhao Qi, Jiawei Liu et al.
I2VGuard: Safeguarding Images against Misuse in Diffusion-based Image-to-Video Models
Dongnan Gui, Xun Guo, Wengang Zhou et al.
I2-World: Intra-Inter Tokenization for Efficient Dynamic 4D Scene Forecasting
Zhimin Liao, Ping Wei, Ruijie Zhang et al.
IAAO: Interactive Affordance Learning for Articulated Objects in 3D Environments
Can Zhang, Gim Hee Lee
I Am Big, You Are Little; I Am Right, You Are Wrong
David A Kelly, Akchunya Chanchal, Nathan Blake
“I Am the One and Only, Your Cyber BFF”: Understanding the Impact of GenAI Requires Understanding the Impact of Anthropomorphic AI
Myra Cheng, Alicia DeVrio, Lisa Egede et al.
IAP: Invisible Adversarial Patch Attack through Perceptibility-Aware Localization and Perturbation Optimization
Subrat Kishore Dutta, Xiao Zhang
IBCircuit: Towards Holistic Circuit Discovery with Information Bottleneck
Tian Bian, Yifan Niu, Chaohao Yuan et al.
IBGS: Image-Based Gaussian Splatting
Hoang Chuong Nguyen, Wei Mao, Jose M. Alvarez et al.
I Can Hear You: Selective Robust Training for Deepfake Audio Detection
Zirui Zhang, Wei Hao, Aroon Sankoh et al.
ICE-Bench: A Unified and Comprehensive Benchmark for Image Creating and Editing
Yulin Pan, Xiangteng He, Chaojie Mao et al.
IceDiff: High Resolution and High-Quality Arctic Sea Ice Forecasting with Generative Diffusion Prior
Jingyi Xu, Siwei Tu, Weidong Yang et al.
ICLR: In-Context Learning of Representations
Core Francisco Park, Andrew Lee, Ekdeep Singh Lubana et al.
ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination
Xiaoyi Pang, Xuanyi Hao, Song Guo et al.
ICLShield: Exploring and Mitigating In-Context Learning Backdoor Attacks
Zhiyao Ren, Siyuan Liang, Aishan Liu et al.
ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests
Shiyi Xu, Hu Yiwen, Yingqian Min et al.
ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models
Junzhe Chen, Tianshu Zhang, Shiyu Huang et al.
IDArb: Intrinsic Decomposition for Arbitrary Number of Input Views and Illuminations
Zhibing Li, Tong Wu, Jing Tan et al.
IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model
Yatai Ji, Shilong Zhang, Jie Wu et al.
IDEA-Bench: How Far are Generative Models from Professional Designing?
Chen Liang, Lianghua Huang, Jingwu Fang et al.
IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification
Yuhao Wang, Yongfeng Lv, Pingping Zhang et al.
IDEATOR: Jailbreaking and Benchmarking Large Vision-Language Models Using Themselves
Ruofan Wang, Juncheng Li, Yixu Wang et al.
Identifiability for Gaussian Processes with Holomorphic Kernels
Ameer Qaqish, Didong Li
Identifiable Exchangeable Mechanisms for Causal Structure and Representation Learning
Patrik Reizinger, Siyuan Guo, Ferenc Huszar et al.
Identifiable Object Representations under Spatial Ambiguities
Avinash Kori, Francesca Toni, Ben Glocker
Identification of Latent Confounders via Investigating the Tensor Ranks of the Nonlinear Observations
Zhengming Chen, Yewei Xia, Feng Xie et al.
Identifying and Mitigating Position Bias of Multi-image Vision-Language Models
Xinyu Tian, Shu Zou, Zhaoyuan Yang et al.
Identifying and Mitigating Spurious Correlation in Multi-Task Learning
Junyi Chai, Shenyu Lu, Xiaoqian Wang
Identifying and Understanding Cross-Class Features in Adversarial Training
Zeming Wei, Yiwen Guo, Yisen Wang
Identifying biological perturbation targets through causal differential networks
Menghua Wu, Umesh Padia, Sean Murphy et al.
Identifying interactions across brain areas while accounting for individual-neuron dynamics with a Transformer-based variational autoencoder
Qi Xin, Robert E Kass
Identifying latent state transitions in non-linear dynamical systems
Çağlar Hızlı, Çağatay Yıldız, Matthias Bethge et al.
Identifying Macro Causal Effects in C-DMGs over DMGs
Simon Ferreira, Charles Assaad
Identifying Metric Structures of Deep Latent Variable Models
Stas Syrota, Yevgen Zainchkovskyy, Johnny Xi et al.
Identifying multi-compartment Hodgkin-Huxley models with high-density extracellular voltage recordings
Ian Christopher Tanoh, Michael Deistler, Jakob H Macke et al.
Identifying Neural Dynamics Using Interventional State Space Models
Amin Nejatbakhsh, Yixin Wang
Identity-aware Language Gaussian Splatting for Open-vocabulary 3D Semantic Segmentation
SungMin Jang, Wonjun Kim
Identity-Clothing Similarity Modeling for Unsupervised Clothing Change Person Re-Identification
Zhiqi Pang, Junjie Wang, Lingling Zhao et al.