All Papers
34,598 papers found • Page 577 of 692
Conference
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.
Look, Remember and Reason: Grounded Reasoning in Videos with Language Models
Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza et al.
Look-Up Table Compression for Efficient Image Restoration
Yinglong Li, Jiacheng Li, Zhiwei Xiong
LookupViT: Compressing visual information to a limited number of tokens
Rajat Koner, Gagan Jain, Sujoy Paul et al.
Looped Transformers are Better at Learning Learning Algorithms
Liu Yang, Kangwook Lee, Robert Nowak et al.
Loopy-SLAM: Dense Neural SLAM with Loop Closures
Lorenzo Liso, Erik Sandström, Vladimir Yugay et al.
Loose Inertial Poser: Motion Capture with IMU-attached Loose-Wear Jacket
Chengxu Zuo, Yiming Wang, Lishuang Zhan et al.
LOQA: Learning with Opponent Q-Learning Awareness
Milad Aghajohari, Juan Duque, Timotheus Cooijmans et al.
LoRA+: Efficient Low Rank Adaptation of Large Models
Soufiane Hayou, Nikhil Ghosh, Bin Yu
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
guangyan li, Yongqiang Tang, Wensheng Zhang
LoRA Training in the NTK Regime has No Spurious Local Minima
Uijeong Jang, Jason Lee, Ernest Ryu
LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking
Jialin Li, Qiang Nie, Weifu Fu et al.
LoSh: Long-Short Text Joint Prediction Network for Referring Video Object Segmentation
Linfeng Yuan, Miaojing Shi, Zijie Yue et al.
LoS: Local Structure-Guided Stereo Matching
Kunhong Li, Longguang Wang, Ye Zhang et al.
Loss Shaping Constraints for Long-Term Time Series Forecasting
Ignacio Hounie, Javier Porras-Valenzuela, Alejandro Ribeiro
Lossy Image Compression with Foundation Diffusion Models
Lucas Relic, Roberto Azevedo, Markus Gross et al.
Lost and Found: Overcoming Detector Failures in Online Multi-Object Tracking
Lorenzo Vaquero, Yihong XU, Xavier Alameda-Pineda et al.
Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains
Yimu Wang, Yihan Wu, Hongyang Zhang
Lost in Translation: Latent Concept Misalignment in Text-to-Image Diffusion Models
Juntu Zhao, Junyu Deng, Yixin Ye et al.
Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations
Ofir Shifman, Yair Weiss
LoTa-Bench: Benchmarking Language-oriented Task Planners for Embodied Agents
Jae-Woo Choi, Youngwoo Yoon, Youngwoo Yoon et al.
LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
Siyuan Cheng, Guanhong Tao, Yingqi Liu et al.
Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation
Xinyu Zhang, Meng Kang, Shuai Lü
Low-Cost High-Power Membership Inference Attacks
Sajjad Zarifzadeh, Philippe Liu, Reza Shokri
Low-Distortion Clustering with Ordinal and Limited Cardinal Information
Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs et al.
Low-Latency Neural Stereo Streaming
Qiqi Hou, Farzad Farhadzadeh, Amir Said et al.
Low-Latency Space-Time Supersampling for Real-Time Rendering
Ruian He, Shili Zhou, Yuqi Sun et al.
Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation
Chenyang Wang, Junjun Jiang, Kui Jiang et al.
Low-power Continuous Remote Behavioral Localization with Event Cameras
Friedhelm Hamann, Suman Ghosh, Ignacio Juarez Martinez et al.
Low-Rank Approximation for Sparse Attention in Multi-Modal LLMs
Lin Song, Yukang Chen, Shuai Yang et al.
Low-Rank Bandits via Tight Two-to-Infinity Singular Subspace Recovery
Yassir Jedra, William Réveillard, Stefan Stojanovic et al.
Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering
Tingting Wu, Songhe Feng, Jiazheng Yuan
Low-Rank Knowledge Decomposition for Medical Foundation Models
Yuhang Zhou, Haolin li, Siyuan Du et al.
Low Rank Matrix Completion via Robust Alternating Minimization in Nearly Linear Time
Yuzhou Gu, Zhao Song, Junze Yin et al.
LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction
Linqing Zhao, Xiuwei Xu, Ziwei Wang et al.
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
Wei Dong, Xing Zhang, Bihui Chen et al.
Low-Rank Similarity Mining for Multimodal Dataset Distillation
Yue Xu, Zhilin Lin, Yusong Qiu et al.
Low-Res Leads the Way: Improving Generalization for Super-Resolution by Self-Supervised Learning
Haoyu Chen, Wenbo Li, Jinjin Gu et al.
Low-Resource Vision Challenges for Foundation Models
Yunhua Zhang, Hazel Doughty, Cees G. M. Snoek
LP++: A Surprisingly Strong Linear Probe for Few-Shot CLIP
Yunshi HUANG, Fereshteh Shakeri, Jose Dolz et al.
LPGD: A General Framework for Backpropagation through Embedded Optimization Layers
Anselm Paulus, Georg Martius, Vit Musil
lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning
Shangmin Guo, YI REN, Stefano Albrecht et al.
LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging
Haoyang Ge, Qiao Feng, Hailong Jia et al.
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
KAIXIN Xu, Zhe Wang, Chunyun Chen et al.
LQER: Low-Rank Quantization Error Reconstruction for LLMs
Cheng Zhang, Jianyi Cheng, George Constantinides et al.
LQ-LoRA: Low-rank plus Quantized Matrix Decomposition for Efficient Language Model Finetuning
Han Guo, Philip Greengard, Eric Xing et al.