Most Cited 2024 "dense matching" Papers
12,324 papers found • Page 21 of 62
Conference
Gaussian Processes on Cellular Complexes
Mathieu Alain, So Takao, Brooks Paige et al.
Upper Bounding Barlow Twins: A Novel Filter for Multi-Relational Clustering
Xiaowei Qian, Bingheng Li, Zhao Kang
Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach
Shizhou Zhang, Wenlong Luo, De Cheng et al.
MoST: Multi-Modality Scene Tokenization for Motion Prediction
Norman Mu, Jingwei Ji, Zhenpei Yang et al.
Symmetry Induces Structure and Constraint of Learning
Liu Ziyin
Correspondence-Free Non-Rigid Point Set Registration Using Unsupervised Clustering Analysis
Mingyang Zhao, Jiang Jingen, Lei Ma et al.
Is Temperature Sample Efficient for Softmax Gaussian Mixture of Experts?
Huy Nguyen, Pedram Akbarian, Nhat Ho
BA-SAM: Scalable Bias-Mode Attention Mask for Segment Anything Model
song yiran, Qianyu Zhou, Xiangtai Li et al.
BEVSpread: Spread Voxel Pooling for Bird’s-Eye-View Representation in Vision-based Roadside 3D Object Detection
Wenjie Wang, Yehao Lu, Guangcong Zheng et al.
SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
kang you, Zekai Xu, Chen Nie et al.
Pre-training Sequence, Structure, and Surface Features for Comprehensive Protein Representation Learning
Youhan Lee, Hasun Yu, Jaemyung Lee et al.
Conformal Autoregressive Generation: Beam Search with Coverage Guarantees
Nicolas Deutschmann, Marvin Alberts, María Rodríguez Martínez
StableMask: Refining Causal Masking in Decoder-only Transformer
Qingyu Yin, Xuzheng He, Xiang Zhuang et al.
Searching for High-Value Molecules Using Reinforcement Learning and Transformers
Raj Ghugare, Santiago Miret, Adriana Hugessen et al.
Cascade-CLIP: Cascaded Vision-Language Embeddings Alignment for Zero-Shot Semantic Segmentation
Yunheng Li, Zhong-Yu Li, Quan-Sheng Zeng et al.
Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement
Han Wu, Guanyan Ou, Weibin Wu et al.
Making Vision Transformers Truly Shift-Equivariant
Renan A. Rojas-Gomez, Teck-Yian Lim, Minh Do et al.
Decentralized Directed Collaboration for Personalized Federated Learning
Yingqi Liu, Yifan Shi, Qinglun Li et al.
Investigating the Benefits of Projection Head for Representation Learning
Yihao Xue, Eric Gan, Jiayi Ni et al.
MoMo: Momentum Models for Adaptive Learning Rates
Fabian Schaipp, Ruben Ohana, Michael Eickenberg et al.
ConGeo: Robust Cross-view Geo-localization across Ground View Variations
Li Mi, Chang Xu, Javiera Castillo Navarro et al.
Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-speech Gesture Generation
Xingqun Qi, Jiahao Pan, Peng Li et al.
Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling
Leon Sick, Dominik Engel, Pedro Hermosilla et al.
Diffusion for Natural Image Matting
Yihan Hu, Yiheng Lin, Wei Wang et al.
HandDiff: 3D Hand Pose Estimation with Diffusion on Image-Point Cloud
WENCAN CHENG, Hao Tang, Luc Van Gool et al.
Diff-Tracker: Text-to-Image Diffusion Models are Unsupervised Trackers
Zhengbo Zhang, Li Xu, Duo Peng et al.
As-Plausible-As-Possible: Plausibility-Aware Mesh Deformation Using 2D Diffusion Priors
Seungwoo Yoo, Kunho Kim, Vladimir G. Kim et al.
Decentralized Monte Carlo Tree Search for Partially Observable Multi-Agent Pathfinding
Alexey Skrynnik, Anton Andreychuk, Konstantin Yakovlev et al.
DreamComposer: Controllable 3D Object Generation via Multi-View Conditions
Yunhan Yang, Yukun Huang, Xiaoyang Wu et al.
NViST: In the Wild New View Synthesis from a Single Image with Transformers
Wonbong Jang, Lourdes Agapito
Explorations of Self-Repair in Language Models
Cody Rushing, Neel Nanda
CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding
Qiongyi Zhou, Changde Du, Shengpei Wang 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.
SegVG: Transferring Object Bounding Box to Segmentation for Visual Grounding
Weitai Kang, Gaowen Liu, Shah Mubarak et al.
PhysPT: Physics-aware Pretrained Transformer for Estimating Human Dynamics from Monocular Videos
Yufei Zhang, Jeffrey Kephart, Zijun Cui et al.
StructLDM: Structured Latent Diffusion for 3D Human Generation
Tao Hu, Fangzhou Hong, Ziwei Liu
DriveTrack: A Benchmark for Long-Range Point Tracking in Real-World Videos
Arjun Balasingam, Joseph Chandler, Chenning Li et al.
WebVLN: Vision-and-Language Navigation on Websites
Qi Chen, Dileepa Pitawela, Chongyang Zhao et al.
EAT: Towards Long-Tailed Out-of-Distribution Detection
Tong Wei, Bo-Lin Wang, Min-Ling Zhang
Trustless Audits without Revealing Data or Models
Suppakit Waiwitlikhit, Ion Stoica, Yi Sun et al.
PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
Bingheng Li, Linxin Yang, Yupeng Chen et al.
Overload: Latency Attacks on Object Detection for Edge Devices
Erh-Chung Chen, Pin-Yu Chen, I-Hsin Chung et al.
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
Runqi Lin, Chaojian Yu, Bo Han et al.
Privileged Sensing Scaffolds Reinforcement Learning
Edward Hu, James Springer, Oleh Rybkin et al.
Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive
Yumeng Li, Margret Keuper, Dan Zhang et al.
CHEMREASONER: Heuristic Search over a Large Language Model’s Knowledge Space using Quantum-Chemical Feedback
Henry W. Sprueill, Carl Edwards, Khushbu Agarwal et al.
Transformer-Based Selective Super-resolution for Efficient Image Refinement
Tianyi Zhang, Kishore Kasichainula, Yaoxin Zhuo et al.
The Joint Effect of Task Similarity and Overparameterization on Catastrophic Forgetting — An Analytical Model
Daniel Goldfarb, Itay Evron, Nir Weinberger et al.
Driving-Video Dehazing with Non-Aligned Regularization for Safety Assistance
Junkai Fan, Jiangwei Weng, Kun Wang et al.
Bounds on Representation-Induced Confounding Bias for Treatment Effect Estimation
Valentyn Melnychuk, Dennis Frauen, Stefan Feuerriegel
HO-Gaussian: Hybrid Optimization of 3D Gaussian Splatting for Urban Scenes
Zhuopeng Li, Yilin Zhang, Chenming Wu et al.
Exemplar-free Continual Representation Learning via Learnable Drift Compensation
Alex Gomez-Villa, Dipam Goswami, Kai Wang et al.
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning
Jinglin Liang, Jin Zhong, Hanlin Gu et al.
Parameter Efficient Fine-tuning via Cross Block Orchestration for Segment Anything Model
Zelin Peng, Zhengqin Xu, Zhilin Zeng et al.
PromptCCD: Learning Gaussian Mixture Prompt Pool for Continual Category Discovery
Fernando Julio Cendra, Bingchen Zhao, Kai Han
Any2Point: Empowering Any-modality Transformers for Efficient 3D Understanding
YIWEN TANG, Renrui Zhang, Jiaming Liu et al.
Fair-VPT: Fair Visual Prompt Tuning for Image Classification
Sungho Park, Hyeran Byun
Identifiable Latent Polynomial Causal Models through the Lens of Change
Yuhang Liu, Zhen Zhang, Dong Gong et al.
Connect, Collapse, Corrupt: Learning Cross-Modal Tasks with Uni-Modal Data
Yuhui Zhang, Elaine Sui, Serena Yeung
Improved Generalization of Weight Space Networks via Augmentations
Aviv Shamsian, Aviv Navon, David Zhang et al.
Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs
Kejun Tang, Jiayu Zhai, Xiaoliang Wan et al.
Position: Leverage Foundational Models for Black-Box Optimization
Xingyou Song, Yingtao Tian, Robert Lange et al.
MoST: Motion Style Transformer Between Diverse Action Contents
Boeun Kim, Jungho Kim, Hyung Jin Chang et al.
UniTalker: Scaling up Audio-Driven 3D Facial Animation through A Unified Model
Xiangyu Fan, Jiaqi Li, Zhiqian Lin et al.
Source Prompt Disentangled Inversion for Boosting Image Editability with Diffusion Models
Ruibin Li, Ruihuang Li, Song Guo et al.
Holoported Characters: Real-time Free-viewpoint Rendering of Humans from Sparse RGB Cameras
Ashwath Shetty, Marc Habermann, Guoxing Sun et al.
Isometric Representation Learning for Disentangled Latent Space of Diffusion Models
Jaehoon Hahm, Junho Lee, Sunghyun Kim et al.
Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
Rujie Wu, Xiaojian Ma, Zhenliang Zhang et al.
Patch-Wise Graph Contrastive Learning for Image Translation
Chanyong Jung, Gihyun Kwon, Jong Chul Ye
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
Lirong Wu, Yufei Huang, Cheng Tan et al.
Position: Optimization in SciML Should Employ the Function Space Geometry
Johannes Müller, Marius Zeinhofer
Learning Continuous 3D Words for Text-to-Image Generation
Ta-Ying Cheng, Matheus Gadelha, Thibault Groueix et al.
Adaptive Bounding Box Uncertainties via Two-Step Conformal Prediction
Alexander Timans, Christoph-Nikolas Straehle, Kaspar Sakmann et al.
Towards Category Unification of 3D Single Object Tracking on Point Clouds
Jiahao Nie, Zhiwei He, Xudong Lv et al.
Information Bottleneck Analysis of Deep Neural Networks via Lossy Compression
Ivan Butakov, Aleksandr Tolmachev, Sofia Malanchuk et al.
FreeBind: Free Lunch in Unified Multimodal Space via Knowledge Fusion
Zehan Wang, Ziang Zhang, xize cheng et al.
DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation
Zeeshan Hayder, Xuming He
Prompting a Pretrained Transformer Can Be a Universal Approximator
Aleksandar Petrov, Phil Torr, Adel Bibi
Explain via Any Concept: Concept Bottleneck Model with Open Vocabulary Concepts
Andong Tan, Fengtao Zhou, Hao Chen
HOISDF: Constraining 3D Hand-Object Pose Estimation with Global Signed Distance Fields
Haozhe Qi, Chen Zhao, Mathieu Salzmann et al.
Enhancing Semantic Fidelity in Text-to-Image Synthesis: Attention Regulation in Diffusion Models
Yang Zhang, Tze Tzun Teoh, Wei Hern Lim et al.
Discriminability-Driven Channel Selection for Out-of-Distribution Detection
Yue Yuan, Rundong He, Yicong Dong et al.
Liouville Flow Importance Sampler
Yifeng Tian, Nishant Panda, Yen Ting Lin
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation
Xinyu Lin, Wenjie Wang, Jujia Zhao et al.
Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval
Yongchao Du, Min Wang, Wengang Zhou et al.
Segment Every Out-of-Distribution Object
Wenjie Zhao, Jia Li, Xin Dong et al.
InterFusion: Text-Driven Generation of 3D Human-Object Interaction
Sisi Dai, Wenhao Li, Haowen Sun et al.
RPSC: Robust Pseudo-Labeling for Semantic Clustering
Sihang Liu, Wenming Cao, Ruigang Fu et al.
Window Attention is Bugged: How not to Interpolate Position Embeddings
Daniel Bolya, Chaitanya Ryali, Judy Hoffman et al.
ZeroI2V: Zero-Cost Adaptation of Pre-Trained Transformers from Image to Video
Xinhao Li, Yuhan Zhu, Limin Wang
MINDE: Mutual Information Neural Diffusion Estimation
Giulio Franzese, Mustapha BOUNOUA, Pietro Michiardi
From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding
Yonglu Li, Xiaoqian Wu, Xinpeng Liu et al.
DreamSampler: Unifying Diffusion Sampling and Score Distillation for Image Manipulation
Jeongsol Kim, Geon Yeong Park, Jong Chul Ye
M-BEV: Masked BEV Perception for Robust Autonomous Driving
Siran Chen, Yue Ma, Yu Qiao et al.
Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation
Qinghe Ma, Jian Zhang, Lei Qi et al.
FreestyleRet: Retrieving Images from Style-Diversified Queries
Hao Li, Yanhao Jia, Peng Jin et al.
Demystifying Embedding Spaces using Large Language Models
Guy Tennenholtz, Yinlam Chow, ChihWei Hsu et al.
Image Translation as Diffusion Visual Programmers
Cheng Han, James Liang, Qifan Wang et al.
Weighted Envy-Freeness for Submodular Valuations
Luisa Montanari, Ulrike Schmidt-Kraepelin, Warut Suksompong et al.
Uni-RLHF: Universal Platform and Benchmark Suite for Reinforcement Learning with Diverse Human Feedback
Yifu Yuan, Jianye HAO, Yi Ma et al.
Shaping Up SHAP: Enhancing Stability through Layer-Wise Neighbor Selection
Gwladys Kelodjou, Laurence Rozé, Véronique Masson et al.
Spiking Wavelet Transformer
Yuetong Fang, Ziqing Wang, Lingfeng Zhang et al.
Augmented Commonsense Knowledge for Remote Object Grounding
Bahram Mohammadi, Yicong Hong, Yuankai Qi et al.
Constrained Bayesian Optimization under Partial Observations: Balanced Improvements and Provable Convergence
Shengbo Wang, Ke Li
OmniNOCS: A unified NOCS dataset and model for 3D lifting of 2D objects
Akshay Krishnan, Abhijit Kundu, Kevis Maninis et al.
What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
Hongkang Li, Meng Wang, Tengfei Ma et al.
Towards Real-world Event-guided Low-light Video Enhancement and Deblurring
Taewoo Kim, Jaeseok Jeong, Hoonhee Cho et al.
GlitchBench: Can Large Multimodal Models Detect Video Game Glitches?
Mohammad Reza Taesiri, Tianjun Feng, Cor-Paul Bezemer et al.
Learning with Language-Guided State Abstractions
Andi Peng, Ilia Sucholutsky, Belinda Li et al.
Good Teachers Explain: Explanation-Enhanced Knowledge Distillation
Amin Parchami, Moritz Böhle, Sukrut Rao et al.
Topological data analysis on noisy quantum computers
Ismail Akhalwaya, Shashanka Ubaru, Kenneth Clarkson et al.
Neuroformer: Multimodal and Multitask Generative Pretraining for Brain Data
Antonis Antoniades, Yiyi Yu, Joe Canzano et al.
Principal-Agent Reward Shaping in MDPs
Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz et al.
LAPT: Label-driven Automated Prompt Tuning for OOD Detection with Vision-Language Models
Yabin Zhang, Wenjie Zhu, Chenhang He et al.
Image Clustering via the Principle of Rate Reduction in the Age of Pretrained Models
Tianzhe Chu, Shengbang Tong, Tianjiao Ding et al.
Attribute-Guided Pedestrian Retrieval: Bridging Person Re-ID with Internal Attribute Variability
Yan Huang, Zhang Zhang, Qiang Wu et al.
HAMLET: Graph Transformer Neural Operator for Partial Differential Equations
Andrey Bryutkin, Jiahao Huang, Zhongying Deng et al.
LPViT: Low-Power Semi-structured Pruning for Vision Transformers
KAIXIN Xu, Zhe Wang, Chunyun Chen et al.
SceneGraphLoc: Cross-Modal Coarse Visual Localization on 3D Scene Graphs
Yang Miao, Francis Engelmann, Olga Vysotska et al.
Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation
Hao Fang, Peng Wu, Yawei Li et al.
Split to Merge: Unifying Separated Modalities for Unsupervised Domain Adaptation
Xinyao Li, Yuke Li, Zhekai Du et al.
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
Yifei Sun, Qi Zhu, Yang Yang et al.
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation
Xu Zheng, Yuanhuiyi Lyu, jiazhou zhou et al.
Towards Neuro-Symbolic Video Understanding
Minkyu Choi, Harsh Goel, Mohammad Omama et al.
Modality-Agnostic Structural Image Representation Learning for Deformable Multi-Modality Medical Image Registration
Tony C. W. MOK, Zi Li, Yunhao Bai et al.
Minimum Coverage Sets for Training Robust Ad Hoc Teamwork Agents
Arrasy Rahman, Jiaxun Cui, Peter Stone
Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks
Anastasia Antsiferova, Khaled Abud, Aleksandr Gushchin et al.
Learning from History: Task-agnostic Model Contrastive Learning for Image Restoration
Gang Wu, Junjun Jiang, Kui Jiang et al.
Perturbing Attention Gives You More Bang for the Buck: Subtle Imaging Perturbations That Efficiently Fool Customized Diffusion Models
Jingyao Xu, Yuetong Lu, Yandong Li et al.
Leveraging Cross-Modal Neighbor Representation for Improved CLIP Classification
Chao Yi, Lu Ren, De-Chuan Zhan et al.
Diffusion Language-Shapelets for Semi-supervised Time-Series Classification
Zhen Liu, Wenbin Pei, Disen Lan et al.
CLAMP-ViT: Contrastive Data-Free Learning for Adaptive Post-Training Quantization of ViTs
Akshat Ramachandran, Souvik Kundu, Tushar Krishna
NeRFCodec: Neural Feature Compression Meets Neural Radiance Fields for Memory-Efficient Scene Representation
Sicheng Li, Hao Li, Yiyi Liao et al.
The Unreasonable Effectiveness of Pre-Trained Features for Camera Pose Refinement
Gabriele Trivigno, Carlo Masone, Barbara Caputo et al.
Agile Multi-Source-Free Domain Adaptation
Xinyao Li, Jingjing Li, Fengling Li et al.
$\mathcal{B}$-Coder: Value-Based Deep Reinforcement Learning for Program Synthesis
Zishun Yu, Yunzhe Tao, Liyu Chen et al.
URHand: Universal Relightable Hands
Zhaoxi Chen, Gyeongsik Moon, Kaiwen Guo et al.
Text Image Inpainting via Global Structure-Guided Diffusion Models
Shipeng Zhu, Pengfei Fang, Chenjie Zhu et al.
Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach
Haiping Ma, Changqian Wang, Hengshu Zhu et al.
Hierarchical State Space Models for Continuous Sequence-to-Sequence Modeling
Raunaq Bhirangi, Chenyu Wang, Venkatesh Pattabiraman et al.
LatentEditor: Text Driven Local Editing of 3D Scenes
Umar Khalid, Hasan Iqbal, Muhammad Tayyab et al.
FusionFormer: A Concise Unified Feature Fusion Transformer for 3D Pose Estimation
Yanlu Cai, Weizhong Zhang, Yuan Wu et al.
Caltech Aerial RGB-Thermal Dataset in the Wild
Connor Lee, Matthew Anderson, Nikhil Ranganathan et al.
Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains
Levi Lingsch, Mike Yan Michelis, Emmanuel de Bézenac et al.
ReGCL: Rethinking Message Passing in Graph Contrastive Learning
Cheng Ji, Zixuan Huang, Qingyun Sun et al.
Scalable 3D Registration via Truncated Entry-wise Absolute Residuals
Tianyu Huang, Liangzu Peng, Rene Vidal et al.
Equivariance via Minimal Frame Averaging for More Symmetries and Efficiency
Yuchao Lin, Jacob Helwig, Shurui Gui et al.
Osmosis: RGBD Diffusion Prior for Underwater Image Restoration
Opher Bar Nathan, Deborah Steinberger-Levy, Tali Treibitz et al.
Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations
Jihong Ouyang, Zhiyao Yang, Silong Liang et al.
Detecting Machine-Generated Texts by Multi-Population Aware Optimization for Maximum Mean Discrepancy
Shuhai Zhang, Yiliao Song, Jiahao Yang et al.
Protein-ligand binding representation learning from fine-grained interactions
Shikun Feng, Minghao Li, Yinjun JIA et al.
Class Incremental Learning via Likelihood Ratio Based Task Prediction
Haowei Lin, Yijia Shao, Weinan Qian et al.
Text-Enhanced Data-free Approach for Federated Class-Incremental Learning
Minh-Tuan Tran, Trung Le, Xuan-May Le et al.
InfMAE: A Foundation Model in The Infrared Modality
Fangcen liu, Chenqiang Gao, Yaming Zhang et al.
LiDAR-based Person Re-identification
Wenxuan Guo, Zhiyu Pan, Yingping Liang et al.
LAKE-RED: Camouflaged Images Generation by Latent Background Knowledge Retrieval-Augmented Diffusion
Pancheng Zhao, Peng Xu, Pengda Qin et al.
CoMusion: Towards Consistent Stochastic Human Motion Prediction via Motion Diffusion
Jiarui Sun, Girish Chowdhary
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning
Xiaoyang Xu, Mengda Yang, Wenzhe Yi et al.
ParamISP: Learned Forward and Inverse ISPs using Camera Parameters
Woohyeok Kim, Geonu Kim, Junyong Lee et al.
OV-Uni3DETR: Towards Unified Open-Vocabulary 3D Object Detection via Cycle-Modality Propagation
Zhenyu Wang, Ya-Li Li, TAICHI LIU et al.
MagDiff: Multi-Alignment Diffusion for High-Fidelity Video Generation and Editing
Haoyu Zhao, Tianyi Lu, Jiaxi Gu et al.
SuperSVG: Superpixel-based Scalable Vector Graphics Synthesis
Teng Hu, Ran Yi, Baihong Qian et al.
Overcoming Data and Model heterogeneities in Decentralized Federated Learning via Synthetic Anchors
Chun-Yin Huang, Kartik Srinivas, Xin Zhang et al.
GarmentCodeData: A Dataset of 3D Made-to-Measure Garments With Sewing Patterns
Maria Korosteleva, Timur Levent Kesdogan, Fabian Kemper et al.
Crowd-SAM:SAM as a smart annotator for object detection in crowded scenes
Zhi Cai, Yingjie Gao, Yaoyan Zheng et al.
Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging
Max Zimmer, Christoph Spiegel, Sebastian Pokutta
Conformal Prediction with Learned Features
Shayan Kiyani, George J. Pappas, Hamed Hassani
Distinguished In Uniform: Self-Attention Vs. Virtual Nodes
Eran Rosenbluth, Jan Tönshoff, Martin Ritzert et al.
SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
Mengxin Zheng, Jiaqi Xue, Zihao Wang et al.
Listen to Look into the Future: Audio-Visual Egocentric Gaze Anticipation
Bolin Lai, Fiona Ryan, Wenqi Jia et al.
How Well Do Supervised 3D Models Transfer to Medical Imaging Tasks?
Wenxuan Li, Alan Yuille, Zongwei Zhou
eTraM: Event-based Traffic Monitoring Dataset
Aayush Atul Verma, Bharatesh Chakravarthi, Arpitsinh Vaghela et al.
In-Context Decision Transformer: Reinforcement Learning via Hierarchical Chain-of-Thought
sili huang, Jifeng Hu, Hechang Chen et al.
EgoCVR: An Egocentric Benchmark for Fine-Grained Composed Video Retrieval
Thomas Hummel, Shyamgopal Karthik, Mariana-Iuliana Georgescu et al.
UNIC: Universal Classification Models via Multi-teacher Distillation
Yannis Kalantidis, Larlus Diane, Mert Bulent SARIYILDIZ et al.
SparseCraft: Few-Shot Neural Reconstruction through Stereopsis Guided Geometric Linearization
Mae Younes, Amine Ouasfi, Adnane Boukhayma
Empowering Graph Invariance Learning with Deep Spurious Infomax
Tianjun Yao, Yongqiang Chen, Zhenhao Chen et al.
Why Do You Grok? A Theoretical Analysis on Grokking Modular Addition
Mohamad Amin Mohamadi, Zhiyuan Li, Lei Wu et al.
Code-Style In-Context Learning for Knowledge-Based Question Answering
Zhijie Nie, Richong Zhang, Zhongyuan Wang et al.
MESA: Matching Everything by Segmenting Anything
Yesheng Zhang, Xu Zhao
Drug Discovery with Dynamic Goal-aware Fragments
Seul Lee, Seanie Lee, Kenji Kawaguchi et al.
NICP: Neural ICP for 3D Human Registration at Scale
Riccardo Marin, Enric Corona, Gerard Pons-Moll
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
Aobo Li, Jinjian Wu, Yongxu Liu et al.
Repeated Fair Allocation of Indivisible Items
Ayumi Igarashi, Martin Lackner, Oliviero Nardi et al.
FairProof : Confidential and Certifiable Fairness for Neural Networks
Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh et al.
Contourlet Residual for Prompt Learning Enhanced Infrared Image Super-Resolution
Xingyuan Li, Jinyuan Liu, ZHIXIN CHEN et al.
Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)
Drew Prinster, Samuel Stanton, Anqi Liu et al.
Efficient Subgraph GNNs by Learning Effective Selection Policies
Beatrice Bevilacqua, Moshe Eliasof, Eli Meirom et al.
Rotation-Agnostic Image Representation Learning for Digital Pathology
Saghir Alfasly, Abubakr Shafique, Peyman Nejat et al.
Can We Remove the Square-Root in Adaptive Gradient Methods? A Second-Order Perspective
Wu Lin, Felix Dangel, Runa Eschenhagen et al.
Unsupervised Keypoints from Pretrained Diffusion Models
Eric Hedlin, Gopal Sharma, Shweta Mahajan et al.
BCLNet: Bilateral Consensus Learning for Two-View Correspondence Pruning
Xiangyang Miao, Guobao Xiao, Shiping Wang et al.
StoryImager: A Unified and Efficient Framework for Coherent Story Visualization and Completion
Ming Tao, BINGKUN BAO, Hao Tang et al.
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
Wei-Cheng Huang, Chun-Fu Chen, Hsiang Hsu
Learning to Unlearn for Robust Machine Unlearning
Mark HUANG, Lin Geng Foo, Jun Liu
Deep Incomplete Multi-View Learning Network with Insufficient Label Information
Zhangqi Jiang, Tingjin Luo, Xinyan Liang
Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios
Shiyan Chen, Jiyuan Zhang, Zhaofei Yu et al.
COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL
Xiyao Wang, Ruijie Zheng, Yanchao Sun et al.
DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation
Xiaoliang Ju, Zhaoyang Huang, Yijin Li et al.
Generating Novel Leads for Drug Discovery Using LLMs with Logical Feedback
Shreyas Bhat Brahmavar, Ashwin Srinivasan, Tirtharaj Dash et al.