Poster Papers

Local All-Pair Correspondence for Point Tracking

Seokju Cho, Jiahui Huang, Jisu Nam et al.

Local and Global Flatness for Federated Domain Generalization

Hao Yan, Yuhong Guo

Local Causal Structure Learning in the Presence of Latent Variables

Feng Xie, Zheng Li, Peng Wu et al.

Local Composite Saddle Point Optimization

Site Bai, Brian Bullins

Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis

Yiyang Chen, Lunhao Duan, Shanshan Zhao et al.

Local Feature Selection without Label or Feature Leakage for Interpretable Machine Learning Predictions

Harrie Oosterhuis, Lijun Lyu, Avishek Anand

Local Graph Clustering with Noisy Labels

Artur Back de Luca, Kimon Fountoulakis, Shenghao Yang

Locality-Aware Graph Rewiring in GNNs

Federico Barbero, Ameya Velingker, Amin Saberi et al.

Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics

Siqi Miao, Zhiyuan Lu, Mia Liu et al.

Locality Sensitive Sparse Encoding for Learning World Models Online

Zichen Liu, Chao Du, Wee Sun Lee et al.

Localization and Expansion: A Decoupled Framework for Point Cloud Few-shot Semantic Segmentation

Zhaoyang Li, Yuan Wang, Wangkai Li et al.

Localization Is All You Evaluate: Data Leakage in Online Mapping Datasets and How to Fix It

Adam Lilja, Junsheng Fu, Erik Stenborg et al.

Localizing and Editing Knowledge In Text-to-Image Generative Models

Samyadeep Basu, Nanxuan Zhao, Vlad Morariu et al.

Localizing Task Information for Improved Model Merging and Compression

Ke Wang, Nikolaos Dimitriadis, Guillermo Ortiz-Jimenez et al.

Locally Adaptive Neural 3D Morphable Models

Michail Tarasiou, Rolandos Alexandros Potamias, Eimear O' Sullivan et al.

Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy

Ziqin Chen, Yongqiang Wang

Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies

Alex DeWeese, Guannan Qu

Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection

Kangqi Ma, Hao Dong, Yadong Mu

LoCoCo: Dropping In Convolutions for Long Context Compression

Ruisi Cai, Yuandong Tian, Zhangyang “Atlas” Wang et al.

LoCoNet: Long-Short Context Network for Active Speaker Detection

Xizi Wang, Feng Cheng, Gedas Bertasius

Lodge: A Coarse to Fine Diffusion Network for Long Dance Generation Guided by the Characteristic Dance Primitives

Ronghui Li, Yuxiang Zhang, Yachao Zhang et al.

LoftQ: LoRA-Fine-Tuning-aware Quantization for Large Language Models

Yixiao Li, Yifan Yu, Chen Liang et al.

Logarithmic Lenses: Exploring Log RGB Data for Image Classification

Bruce Maxwell, Sumegha Singhania, Avnish Patel et al.

Logical Languages Accepted by Transformer Encoders with Hard Attention

Pablo Barcelo, Alexander Kozachinskiy, Anthony W. Lin et al.

LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints

Weidi Xu, Jingwei Wang, Lele Xie et al.

Login

Login

Logistic Variational Bayes Revisited

Michael Komodromos, Marina Evangelou, Sarah Filippi

Log Neural Controlled Differential Equations: The Lie Brackets Make A Difference

Benjamin Walker, Andrew McLeod, Tiexin QIN et al.

LogoSticker: Inserting Logos into Diffusion Models for Customized Generation

Mingkang Zhu, Xi Chen, Zhongdao Wang et al.

Long-CLIP: Unlocking the Long-Text Capability of CLIP

Beichen Zhang, Pan Zhang, Xiaoyi Dong et al.

Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Hao Zhao, Maksym Andriushchenko, Francesco Croce et al.

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Yukang Chen, Shengju Qian, Haotian Tang et al.

Long-range Turbulence Mitigation: A Large-scale Dataset and A Coarse-to-fine Framework

Shengqi Xu, Run Sun, Yi Chang et al.

LongRoPE: Extending LLM Context Window Beyond 2 Million Tokens

Yiran Ding, Li Lyna Zhang, Chengruidong Zhang et al.

Long-Short-Range Message-Passing: A Physics-Informed Framework to Capture Non-Local Interaction for Scalable Molecular Dynamics Simulation

Yunyang Li, Yusong Wang, Lin Huang et al.

Long-Tail Class Incremental Learning via Independent Sub-prototype Construction

Xi Wang, Xu Yang, Jie Yin et al.

Long-Tailed Anomaly Detection with Learnable Class Names

Chih-Hui Ho, Kuan-Chuan Peng, Nuno Vasconcelos

Long-tailed Diffusion Models with Oriented Calibration

Tianjiao Zhang, Huangjie Zheng, Jiangchao Yao et al.

Long-Tail Learning with Foundation Model: Heavy Fine-Tuning Hurts

Jiang-Xin Shi, Tong Wei, Zhi Zhou et al.

Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment

Zhanzhong Pang, Fadime Sener, Shrinivas Ramasubramanian et al.

Long-term Temporal Context Gathering for Neural Video Compression

Linfeng Qi, Zhaoyang Jia, Jiahao Li et al.

LongVLM: Efficient Long Video Understanding via Large Language Models

Yuetian Weng, Mingfei Han, Haoyu He et al.

Look Ahead or Look Around? A Theoretical Comparison Between Autoregressive and Masked Pretraining

Qi Zhang, Tianqi Du, Haotian Huang et al.

Look Around and Learn: Self-Training Object Detection by Exploration

Gianluca Scarpellini, Stefano Rosa, Pietro Morerio et al.

Lookbehind-SAM: k steps back, 1 step forward

Gonçalo Mordido, Pranshu Malviya, Aristide Baratin et al.

Look Hear: Gaze Prediction for Speech-directed Human Attention

Sounak Mondal, Seoyoung Ahn, Zhibo Yang et al.

Looking 3D: Anomaly Detection with 2D-3D Alignment

Ankan Kumar Bhunia, Changjian Li, Hakan Bilen

Looking Similar Sounding Different: Leveraging Counterfactual Cross-Modal Pairs for Audiovisual Representation Learning

Nikhil Singh, Chih-Wei Wu, Iroro Orife et al.

LookupViT: Compressing visual information to a limited number of tokens

Rajat Koner, Gagan Jain, Sujoy Paul et al.