Most Cited 2024 "multi-scale time-frequency features" Papers
12,324 papers found • Page 30 of 62
Conference
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Jintang Li, Huizhe Zhang, Ruofan Wu et al.
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion
Yu Cao, Shaogang Gong
ProMerge: Prompt and Merge for Unsupervised Instance Segmentation
Dylan Li, Gyungin Shin
Learning from Sparse Offline Datasets via Conservative Density Estimation
Zhepeng Cen, Zuxin Liu, Zitong Wang et al.
Using Left and Right Brains Together: Towards Vision and Language Planning
Jun CEN, Chenfei Wu, Xiao Liu et al.
Fundamental Benefit of Alternating Updates in Minimax Optimization
Jaewook Lee, Hanseul Cho, Chulhee Yun
CR-SAM: Curvature Regularized Sharpness-Aware Minimization
Tao Wu, Tie Luo, Donald Wunsch
Dynamic Layer Tying for Parameter-Efficient Transformers
Tamir David-Hay, Lior Wolf
Dynamic Sub-graph Distillation for Robust Semi-supervised Continual Learning
Yan Fan, Yu Wang, Pengfei Zhu et al.
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
Kostadin Garov, Dimitar I. Dimitrov, Nikola Jovanović et al.
MAGR: Manifold-Aligned Graph Regularization for Continual Action Quality Assessment
Kanglei Zhou, Liyuan Wang, Xingxing Zhang et al.
Stochastic Conditional Diffusion Models for Robust Semantic Image Synthesis
Juyeon Ko, Inho Kong, Dogyun Park et al.
Generalized Event Cameras
Varun Sundar, Matthew Dutson, Andrei Ardelean et al.
Predictive Linear Online Tracking for Unknown Targets
Anastasios Tsiamis, Aren Karapetyan, Yueshan Li et al.
Asymptotically Free Sketched Ridge Ensembles: Risks, Cross-Validation, and Tuning
Pratik Patil, Daniel LeJeune
FD3D: Exploiting Foreground Depth Map for Feature-Supervised Monocular 3D Object Detection
Zizhang Wu, Yuanzhu Gan, Yunzhe Wu et al.
Non-parametric Representation Learning with Kernels
Hebaixu Wang, Meiqi Gong, Xiaoguang Mei et al.
Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
Thanh Thong Nguyen, Yi Bin, Xiaobao Wu et al.
Pre-training with Synthetic Data Helps Offline Reinforcement Learning
Zecheng Wang, Che Wang, Zixuan Dong et al.
DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
Zelin Zang, Hao Luo, Kai Wang et al.
Betrayed by Attention: A Simple yet Effective Approach for Self-supervised Video Object Segmentation
Shuangrui Ding, Rui Qian, Haohang Xu et al.
SeGA: Preference-Aware Self-Contrastive Learning with Prompts for Anomalous User Detection on Twitter
Ying-Ying Chang, Wei-Yao Wang, Wen-Chih Peng
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
Chenxiao Wu, Ke Wenjun, Peng Wang et al.
Learning Implicit Representation for Reconstructing Articulated Objects
Hao Zhang, Fang Li, Samyak Rawlekar et al.
MetaRLEC: Meta-Reinforcement Learning for Discovery of Brain Effective Connectivity
Zuozhen Zhang, Junzhong Ji, Jinduo Liu
Efficient and Effective Weakly-Supervised Action Segmentation via Action-Transition-Aware Boundary Alignment
Angchi Xu, Wei-Shi Zheng
Generalization Bound and New Algorithm for Clean-Label Backdoor Attack
Lijia Yu, Shuang Liu, Yibo Miao et al.
FRAG: Frequency Adapting Group for Diffusion Video Editing
Sunjae Yoon, Gwanhyeong Koo, Geonwoo Kim et al.
MaskINT: Video Editing via Interpolative Non-autoregressive Masked Transformers
Haoyu Ma, Shahin Mahdizadehaghdam, Bichen Wu et al.
Learning to Reach Goals via Diffusion
Vineet Jain, Siamak Ravanbakhsh
Learning Invariant Inter-pixel Correlations for Superpixel Generation
Sen Xu, Shikui Wei, Tao Ruan et al.
Beyond Pixels: Semi-Supervised Semantic Segmentation with a Multi-scale Patch-based Multi-Label Classifier
Prantik Howlader, Srijan Das, Hieu Le et al.
SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning
Haiwen Diao, Bo Wan, XU JIA et al.
Self-attention Networks Localize When QK-eigenspectrum Concentrates
Han Bao, Ryuichiro Hataya, Ryo Karakida
ViPer: Visual Personalization of Generative Models via Individual Preference Learning
Sogand Salehi, Mahdi Shafiei, Roman Bachmann et al.
Peeking with PEAK: Sequential, Nonparametric Composite Hypothesis Tests for Means of Multiple Data Streams
Brian Cho, Kyra Gan, Nathan Kallus
Manifold Diffusion Fields
Ahmed Elhag, Ahmed Elhag, Yuyang Wang et al.
Bridging the Gap Between End-to-End and Two-Step Text Spotting
Mingxin Huang, Hongliang Li, Yuliang Liu et al.
LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training
Khoi M. Le, Trinh Pham, Tho Quan et al.
From Activation to Initialization: Scaling Insights for Optimizing Neural Fields
Hemanth Saratchandran, Sameera Ramasinghe, Simon Lucey
MemoNav: Working Memory Model for Visual Navigation
Hongxin Li, Zeyu Wang, Xu Yang et al.
Neural operators meet conjugate gradients: The FCG-NO method for efficient PDE solving
Alexander Rudikov, Fanaskov Vladimir, Ekaterina Muravleva et al.
Better Neural PDE Solvers Through Data-Free Mesh Movers
Peiyan Hu, Yue Wang, Zhi-Ming Ma
DRED: Zero-Shot Transfer in Reinforcement Learning via Data-Regularised Environment Design
Samuel Garcin, James Doran, Shangmin Guo et al.
YolOOD: Utilizing Object Detection Concepts for Multi-Label Out-of-Distribution Detection
Alon Zolfi, Guy AmiT, Amit Baras et al.
Attention-Propagation Network for Egocentric Heatmap to 3D Pose Lifting
Taeho Kang, Youngki Lee
MFP: Making Full Use of Probability Maps for Interactive Image Segmentation
Chaewon Lee, Seon-Ho Lee, Chang-Su Kim
NTO3D: Neural Target Object 3D Reconstruction with Segment Anything
Xiaobao Wei, Renrui Zhang, Jiarui Wu et al.
StraightPCF: Straight Point Cloud Filtering
Dasith de Silva Edirimuni, Xuequan Lu, Gang Li et al.
Visual Data-Type Understanding does not emerge from scaling Vision-Language Models
Vishaal Udandarao, Max F. Burg, Samuel Albanie et al.
Finsler-Laplace-Beltrami Operators with Application to Shape Analysis
Simon Weber, Thomas Dagès, Maolin Gao et al.
Learning Spatially Collaged Fourier Bases for Implicit Neural Representation
Jason Chun Lok Li, Chang Liu, Binxiao Huang et al.
Semantic Segmentation in Multiple Adverse Weather Conditions with Domain Knowledge Retention
Xin Yang, Wending Yan, Yuan Yuan et al.
Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization
Insoo Kim, Jae Seok Choi, Geonseok Seo et al.
AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing
Fan Yang, Tianyi Chen, XIAOSHENG HE et al.
Rapid Motor Adaptation for Robotic Manipulator Arms
Yichao Liang, Kevin Ellis, João F. Henriques
Provable Contrastive Continual Learning
Yichen Wen, Zhiquan Tan, Kaipeng Zheng et al.
HumanNeRF-SE: A Simple yet Effective Approach to Animate HumanNeRF with Diverse Poses
Caoyuan Ma, Yu-Lun Liu, Zhixiang Wang et al.
Large Content And Behavior Models To Understand, Simulate, And Optimize Content And Behavior
Ashmit Khandelwal, Aditya Agrawal, Aanisha Bhattacharyya et al.
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu et al.
Understanding Diffusion Models by Feynman's Path Integral
Yuji Hirono, Akinori Tanaka, Kenji Fukushima
Bi-Causal: Group Activity Recognition via Bidirectional Causality
Youliang Zhang, Wenxuan Liu, danni xu et al.
Diversified Batch Selection for Training Acceleration
Feng Hong, Yueming LYU, Jiangchao Yao et al.
Scaling Laws for the Value of Individual Data Points in Machine Learning
Ian Covert, Wenlong Ji, Tatsunori Hashimoto et al.
GenCorres: Consistent Shape Matching via Coupled Implicit-Explicit Shape Generative Models
Haitao Yang, Xiangru Huang, Bo Sun et al.
Boosting Image Restoration via Priors from Pre-trained Models
Xiaogang Xu, Shu Kong, Tao Hu et al.
Video-Based Human Pose Regression via Decoupled Space-Time Aggregation
Jijie He, Wenwu Yang
Wasserstein Wormhole: Scalable Optimal Transport Distance with Transformer
Doron Haviv, Russell Kunes, Thomas Dougherty et al.
Class-Agnostic Object Counting with Text-to-Image Diffusion Model
Xiaofei Hui, Qian Wu, Hossein Rahmani et al.
Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
Yingtian Zou, Kenji Kawaguchi, Yingnan Liu et al.
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer
Linglin Jing, Ying Xue, Xu Yan et al.
Unraveling Batch Normalization for Realistic Test-Time Adaptation
Zixian Su, Jingwei Guo, Kai Yao et al.
Allocation Requires Prediction Only if Inequality Is Low
Ali Shirali, Rediet Abebe, Moritz Hardt
Test-Time Personalization with Meta Prompt for Gaze Estimation
Huan Liu, Julia Qi, Zhenhao Li et al.
Learning with Complementary Labels Revisited: The Selected-Completely-at-Random Setting Is More Practical
Wei Wang, Takashi Ishida, Yu-Jie Zhang et al.
Open-Set Facial Expression Recognition
Yuhang Zhang, Yue Yao, Xuannan Liu et al.
To the Max: Reinventing Reward in Reinforcement Learning
Grigorii Veviurko, Wendelin Boehmer, Mathijs de Weerdt
Dual-Scale Transformer for Large-Scale Single-Pixel Imaging
Gang Qu, Ping Wang, Xin Yuan
UltrAvatar: A Realistic Animatable 3D Avatar Diffusion Model with Authenticity Guided Textures
Mingyuan Zhou, Rakib Hyder, Ziwei Xuan et al.
Soften to Defend: Towards Adversarial Robustness via Self-Guided Label Refinement
Daiwei Yu, Zhuorong Li, Lina Wei et al.
Differentiability and Optimization of Multiparameter Persistent Homology
Luis Scoccola, Siddharth Setlur, David Loiseaux et al.
Beyond Individual Input for Deep Anomaly Detection on Tabular Data
Hugo Thimonier, Fabrice Popineau, Arpad Rimmel et al.
SIGNeRF: Scene Integrated Generation for Neural Radiance Fields
Jan-Niklas Dihlmann, Andreas Engelhardt, Hendrik Lensch
Inferring the Long-Term Causal Effects of Long-Term Treatments from Short-Term Experiments
Allen Tran, Aurelien Bibaut, Nathan Kallus
DreamStruct: Understanding Slides and User Interfaces via Synthetic Data Generation
Yi-Hao Peng, Faria Huq, Yue Jiang et al.
RoadPainter: Points Are Ideal Navigators for Topology transformER
Zhongxing Ma, Liang Shuang, Yongkun Wen et al.
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data
Nikita Tsoy, Nikola Konstantinov
DEAL: Disentangle and Localize Concept-level Explanations for VLMs
Tang Li, Mengmeng Ma, Xi Peng
GIO: Gradient Information Optimization for Training Dataset Selection
Dante Everaert, Christopher Potts
Continuous Piecewise-Affine Based Motion Model for Image Animation
Hexiang Wang, Fengqi Liu, Qianyu Zhou et al.
Uncertainty Regularized Evidential Regression
Kai Ye, Tiejin Chen, Hua Wei et al.
Diff-Reg: Diffusion Model in Doubly Stochastic Matrix Space for Registration Problem
Qianliang Wu, Haobo Jiang, Lei Luo et al.
BatteryML: An Open-source Platform for Machine Learning on Battery Degradation
Han Zhang, Xiaofan Gui, Shun Zheng et al.
Reflected Flow Matching
Tianyu Xie, Yu Zhu, Longlin Yu et al.
Subgraphormer: Unifying Subgraph GNNs and Graph Transformers via Graph Products
Guy Bar Shalom, Beatrice Bevilacqua, Haggai Maron
JointSQ: Joint Sparsification-Quantization for Distributed Learning
Weiying Xie, Haowei Li, Ma Jitao et al.
LUWA Dataset: Learning Lithic Use-Wear Analysis on Microscopic Images
Jing Zhang, Irving Fang, Hao Wu et al.
Constrained Reinforcement Learning Under Model Mismatch
Zhongchang Sun, Sihong He, Fei Miao et al.
Outlier-Robust Subsampling Techniques for Persistent Homology
Bernadette J. Stolz
Online Linear Regression in Dynamic Environments via Discounting
Andrew Jacobsen, Ashok Cutkosky
INTRA: Interaction Relationship-aware Weakly Supervised Affordance Grounding
jiha jang, Hoigi Seo, Se Young Chun
How to Train Neural Field Representations: A Comprehensive Study and Benchmark
Samuele Papa, Riccardo Valperga, David Knigge et al.
Objects as Volumes: A Stochastic Geometry View of Opaque Solids
Bailey Miller, Hanyu Chen, Alice Lai et al.
Free from Bellman Completeness: Trajectory Stitching via Model-based Return-conditioned Supervised Learning
Zhaoyi Zhou, Chuning Zhu, Runlong Zhou et al.
Language-guided Skill Learning with Temporal Variational Inference
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin et al.
RT-Pose: A 4D Radar-Tensor based 3D Human Pose Estimation and Localization Benchmark
Yuan-Hao Ho, Jen-Hao Cheng, Sheng Yao Kuan et al.
Stability in Online Coalition Formation
Authors: Martin Bullinger, René Romen
Specularity Factorization for Low-Light Enhancement
Saurabh Saini, P. J. Narayanan
Open the Black Box: Step-based Policy Updates for Temporally-Correlated Episodic Reinforcement Learning
Ge Li, Hongyi Zhou, Dominik Roth et al.
Proper Laplacian Representation Learning
Diego Gomez, Michael Bowling, Marlos C. Machado
DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning
Shuai Shao, Yu Bai, Yan WANG et al.
Iterative Token Evaluation and Refinement for Real-World Super-resolution
Authors: Chaofeng Chen, Shangchen Zhou, Liang Liao et al.
H-GAP: Humanoid Control with a Generalist Planner
Zhengyao Jiang, Yingchen Xu, Nolan Wagener et al.
Single Mesh Diffusion Models with Field Latents for Texture Generation
Thomas W. Mitchel, Carlos Esteves, Ameesh Makadia
DREAM: Diffusion Rectification and Estimation-Adaptive Models
Jinxin Zhou, Tianyu Ding, Tianyi Chen et al.
EgoPet: Egomotion and Interaction Data from an Animal's Perspective
Amir Bar, Arya Bakhtiar, Danny L Tran et al.
Causal Fairness under Unobserved Confounding: A Neural Sensitivity Framework
Maresa Schröder, Dennis Frauen, Stefan Feuerriegel
3D-LFM: Lifting Foundation Model
Mosam Dabhi, László A. Jeni, Simon Lucey
Resisting Stochastic Risks in Diffusion Planners with the Trajectory Aggregation Tree
Lang Feng, Pengjie Gu, Bo An et al.
ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis
Yuchen He, Zeqing Yuan, Yihong Wu et al.
Exploring Correlations of Self-Supervised Tasks for Graphs
Taoran Fang, Wei Chow, Yifei Sun et al.
Designing Skill-Compatible AI: Methodologies and Frameworks in Chess
KARIM HAMADE, Reid McIlroy-Young, Siddhartha Sen et al.
GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image
Chong Bao, Yinda Zhang, Yuan Li et al.
Self-Supervised Any-Point Tracking by Contrastive Random Walks
Ayush Shrivastava, Andrew Owens
Eureka-Moments in Transformers: Multi-Step Tasks Reveal Softmax Induced Optimization Problems
David T. Hoffmann, Simon Schrodi, Jelena Bratulić et al.
Taming Stable Diffusion for Text to 360 Panorama Image Generation
Cheng Zhang, Qianyi Wu, Camilo Cruz Gambardella et al.
Towards Understanding and Improving Adversarial Robustness of Vision Transformers
Samyak Jain, Tanima Dutta
Workflow Discovery from Dialogues in the Low Data Regime
David Vazquez, Stefania Raimondo, Christopher Pal et al.
FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning
Junyuan Zhang, Shuang Zeng, Miao Zhang et al.
When and How Does In-Distribution Label Help Out-of-Distribution Detection?
Xuefeng Du, Yiyou Sun, Sharon Li
Magnitude Invariant Parametrizations Improve Hypernetwork Learning
Jose Javier Gonzalez Ortiz, John Guttag, Adrian Dalca
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
Adam Block, Dylan Foster, Akshay Krishnamurthy et al.
Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation
Jiawei Han, Kaiqi Liu, Wei Li et al.
Efficient Episodic Memory Utilization of Cooperative Multi-Agent Reinforcement Learning
Hyungho Na, Yunkyeong Seo, Il-chul Moon
Position: Insights from Survey Methodology can Improve Training Data
Stephanie Eckman, Barbara Plank, Frauke Kreuter
Asymptotics of Learning with Deep Structured (Random) Features
Dominik Schröder, Daniil Dmitriev, Hugo Cui et al.
No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning
Dianyu Zhong, Yiqin Yang, Qianchuan Zhao
X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs
Swetha Sirnam, Jinyu Yang, Tal Neiman et al.
Quality Diversity through Human Feedback: Towards Open-Ended Diversity-Driven Optimization
Li Ding, Jenny Zhang, Jeff Clune et al.
Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order Optimization
Ruizhong Qiu, Hanghang Tong
Placing Objects in Context via Inpainting for Out-of-distribution Segmentation
Pau de Jorge Aranda, Riccardo Volpi, Puneet Dokania et al.
DPHMs: Diffusion Parametric Head Models for Depth-based Tracking
Jiapeng Tang, Angela Dai, Yinyu Nie et al.
GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level Corrections
Shiyue Zhang, Zheng Chong, Xujie Zhang et al.
CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing
Faegheh Sardari, Armin Mustafa, Philip JB Jackson et al.
Task Adaptation from Skills: Information Geometry, Disentanglement, and New Objectives for Unsupervised Reinforcement Learning
Yucheng Yang, Tianyi Zhou, Qiang HE et al.
TCAN: Animating Human Images with Temporally Consistent Pose Guidance using Diffusion Models
Jeongho Kim, Min-Jung Kim, Junsoo Lee et al.
Efficient Few-Shot Action Recognition via Multi-Level Post-Reasoning
Cong Wu, Xiao-Jun Wu, Linze Li et al.
Synergistic Global-space Camera and Human Reconstruction from Videos
Yizhou Zhao, Tuanfeng Y. Wang, Bhiksha Raj et al.
KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation
Minsik Cho, Mohammad Rastegari, Devang Naik
Clockwork Diffusion: Efficient Generation With Model-Step Distillation
Amirhossein Habibian, Amir Ghodrati, Noor Fathima et al.
SAVE: Protagonist Diversification with Structure Agnostic Video Editing
Yeji Song, Wonsik Shin, Junsoo Lee et al.
DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition
Sijie Wang, Rui She, Qiyu Kang et al.
DreamMesh: Jointly Manipulating and Texturing Triangle Meshes for Text-to-3D Generation
Haibo Yang, Yang Chen, Yingwei Pan et al.
Listwise Reward Estimation for Offline Preference-based Reinforcement Learning
Heewoong Choi, Sangwon Jung, Hongjoon Ahn et al.
CLAP: Isolating Content from Style through Contrastive Learning with Augmented Prompts
Yichao Cai, Yuhang Liu, Zhen Zhang et al.
LINGO-Space: Language-Conditioned Incremental Grounding for Space
Dohyun Kim, Nayoung Oh, Deokmin Hwang et al.
Internal Cross-layer Gradients for Extending Homogeneity to Heterogeneity in Federated Learning
Yun-Hin Chan, Rui Zhou, Running Zhao et al.
Distributionally Generative Augmentation for Fair Facial Attribute Classification
Fengda Zhang, Qianpei He, Kun Kuang et al.
DP-SGD Without Clipping: The Lipschitz Neural Network Way
Louis Béthune, Thomas Massena, Thibaut Boissin et al.
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
Yu Chen, Yihan Du, Pihe Hu et al.
ProTIP: Probabilistic Robustness Verification on Text-to-Image Diffusion Models against Stochastic Perturbation
Yi Zhang, Yun Tang, Wenjie Ruan et al.
Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and Visual Analysis Strategy
Hong Zhang, Yixuan Lyu, Qian Yu et al.
Robust Depth Enhancement via Polarization Prompt Fusion Tuning
Kei IKEMURA, Yiming Huang, Felix Heide et al.
SwapAnything: Enabling Arbitrary Object Swapping in Personalized Image Editing
Jing Gu, Nanxuan Zhao, Wei Xiong et al.
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation
Jiahao Lu, Jiacheng Deng, Tianzhu Zhang
Expressivity and Generalization: Fragment-Biases for Molecular GNNs
Tom Wollschläger, Niklas Kemper, Leon Hetzel et al.
OneVOS: Unifying Video Object Segmentation with All-in-One Transformer Framework
Wanyun Li, Pinxue Guo, Xinyu Zhou et al.
Test-Time Zero-Shot Temporal Action Localization
Benedetta Liberatori, Alessandro Conti, Paolo Rota et al.
FedST: Federated Style Transfer Learning for Non-IID Image Segmentation
Boyuan Ma, Yin Xiang, Jing Tan et al.
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction
Qi Liu, Xuyang Hou, Defu Lian et al.
Temporal Correlation Vision Transformer for Video Person Re-Identification
Pengfei Wu, Le Wang, Sanping Zhou et al.
Cinematic Behavior Transfer via NeRF-based Differentiable Filming
Xuekun Jiang, Anyi Rao, Jingbo Wang et al.
UFDA: Universal Federated Domain Adaptation with Practical Assumptions
Xinhui Liu, Zhenghao Chen, Luping Zhou et al.
Federated Causal Discovery from Heterogeneous Data
Loka Li, Ignavier Ng, Gongxu Luo et al.
CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering
Haidong Zhu, Tianyu Ding, Tianyi Chen et al.
Trained Random Forests Completely Reveal your Dataset
Julien Ferry, Ricardo Fukasawa, Timothée Pascal et al.
Disentangled Pre-training for Human-Object Interaction Detection
Zhuolong Li, Xingao Li, Changxing Ding et al.
Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery
Pengwei Yan, Kaisong Song, Zhuoren Jiang et al.
I-rebalance: Personalized Vehicle Repositioning for Supply Demand Balance
Haoyang Chen, Peiyan Sun, Qiyuan Song et al.
Toward Tiny and High-quality Facial Makeup with Data Amplify Learning
Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin et al.
DiJiang: Efficient Large Language Models through Compact Kernelization
Hanting Chen, Liuzhicheng Liuzhicheng, Xutao Wang et al.
SHiNe: Semantic Hierarchy Nexus for Open-vocabulary Object Detection
Mingxuan Liu, Tyler Hayes, Elisa Ricci et al.
Arbitrary-Scale Video Super-Resolution with Structural and Textural Priors
Wei Shang, Dongwei Ren, Wanying Zhang et al.
Initialization Matters for Adversarial Transfer Learning
Andong Hua, Jindong Gu, Zhiyu Xue et al.
Stochastic Modified Equations and Dynamics of Dropout Algorithm
Zhongwang Zhang, Yuqing Li, Tao Luo et al.
Diffusion Rejection Sampling
Byeonghu Na, Yeongmin Kim, Minsang Park et al.
Automated Design of Affine Maximizer Mechanisms in Dynamic Settings
Michael Curry, Vinzenz Thoma, Darshan Chakrabarti et al.
Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation
Renjie Wu, Hu Wang, Feras Dayoub et al.
Diffusion Models are Geometry Critics: Single Image 3D Editing Using Pre-Trained Diffusion Priors
Ruicheng Wang, Jianfeng Xiang, Jiaolong Yang et al.
DTMFormer: Dynamic Token Merging for Boosting Transformer-Based Medical Image Segmentation
Zhehao Wang, Xian Lin, Nannan Wu et al.
DeCo: Decoupled Human-Centered Diffusion Video Editing with Motion Consistency
Xiaojing Zhong, Xinyi Huang, Xiaofeng Yang et al.
Sliding Down the Stairs: How Correlated Latent Variables Accelerate Learning with Neural Networks
Lorenzo Bardone, Sebastian Goldt
BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models
Ye-Bin Moon, Nam Hyeon-Woo, Wonseok Choi et al.
Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
Yifei Ming, Sharon Li
Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization:
Peijun Bao, Zihao Shao, Wenhan Yang et al.
Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition
Lilang Lin, Lehong Wu, Jiahang Zhang et al.
Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation
Pengfei Wang, Yuxi Wang, Shuai Li et al.
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
Gon Buzaglo, Itamar Harel, Mor Shpigel Nacson et al.
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling
Hyunjun Ju, SeongKu Kang, Dongha Lee et al.
On the Tractability of SHAP Explanations under Markovian Distributions
Reda Marzouk, De la Higuera