Most Cited 2024 "movingai benchmark" Papers

Learning Non-Linear Invariants for Unsupervised Out-of-Distribution Detection

Lars Doorenbos, Raphael Sznitman, Pablo Márquez Neila

Revisiting Open-Set Panoptic Segmentation

Yufei Yin, Hao Chen, Wengang Zhou et al.

Symmetric Q-learning: Reducing Skewness of Bellman Error in Online Reinforcement Learning

Motoki Omura, Takayuki Osa, Yusuke Mukuta et al.

DεpS: Delayed ε-Shrinking for Faster Once-For-All Training

Aditya Annavajjala, Alind Khare, Animesh Agrawal et al.

Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning

Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu et al.

Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures

Ganchao Wei

Graph Neural Networks with a Distribution of Parametrized Graphs

See Hian Lee, Feng Ji, Kelin Xia et al.

An Optimal Control View of LoRA and Binary Controller Design for Vision Transformers

CHI Zhang, Jingpu Cheng, Qianxiao Li

Centralized Selection with Preferences in the Presence of Biases

L. Elisa Celis, Amit Kumar, Nisheeth K. Vishnoi et al.

NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation

Abbvavaram Gowtham Reddy, Vineeth N Balasubramanian

Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning

Zhiyu Wu, Jin shi Cui

How to Evaluate Behavioral Models

Greg d'Eon, Sophie Greenwood, Kevin Leyton-Brown et al.

Generalized Variational Inference via Optimal Transport

Jinjin Chi, Zhichao Zhang, Zhiyao Yang et al.

Position: Do Not Explain Vision Models Without Context

Paulina Tomaszewska, Przemyslaw Biecek

RING-NeRF : Rethinking Inductive Biases for Versatile and Efficient Neural Fields

Doriand Petit, Steve Bourgeois, Dumitru Pavel et al.

Matroid Semi-Bandits in Sublinear Time

Ruo-Chun Tzeng, Naoto Ohsaka, Kaito Ariu

Learning Triangular Distribution in Visual World

Ping Chen, Xingpeng Zhang, Chengtao Zhou et al.

What Are the Rules? Discovering Constraints from Data

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

An Optimization Framework to Enforce Multi-View Consistency for Texturing 3D Meshes

Zhengyi Zhao, Chen Song, Xiaodong Gu et al.

Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features

Rodrigo Veiga, Anastasia Remizova, Nicolas Macris

SeMOPO: Learning High-quality Model and Policy from Low-quality Offline Visual Datasets

Shenghua Wan, Ziyuan Chen, Le Gan et al.

Generalization error of spectral algorithms

Maksim Velikanov, Maxim Panov, Dmitry Yarotsky

VRetouchEr: Learning Cross-frame Feature Interdependence with Imperfection Flow for Face Retouching in Videos

Wen Xue, Le Jiang, Lianxin Xie et al.

Leveraging scale- and orientation-covariant features for planar motion estimation

Marcus Valtonen Örnhag, Alberto Jaenal

Imitation Learning from Purified Demonstrations

Yunke Wang, Minjing Dong, Yukun Zhao et al.

Constraint Latent Space Matters: An Anti-anomalous Waveform Transformation Solution from Photoplethysmography to Arterial Blood Pressure

Cheng Bian, Xiaoyu Li, Zhu Guangpu et al.

Understanding and Mitigating Human-Labelling Errors in Supervised Contrastive Learning

Zijun Long, Lipeng Zhuang, George W Killick et al.

Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction

Shuchi Wu, Chuan Ma, Kang Wei et al.

Learning a Dynamic Privacy-preserving Camera Robust to Inversion Attacks

Jiacheng Cheng, Xiang Dai, Jia Wan et al.

Mollification Effects of Policy Gradient Methods

Tao Wang, Sylvia Herbert, Sicun Gao

Reinforcement Learning as a Parsimonious Alternative to Prediction Cascades: A Case Study on Image Segmentation

Bharat Srikishan, Anika Tabassum, Srikanth Allu et al.

Attention-based Iterative Decomposition for Tensor Product Representation

Taewon Park, inchul choi, Minho Lee

A Provably Accurate Randomized Sampling Algorithm for Logistic Regression

Agniva Chowdhury, Pradeep Ramuhalli

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

Dependency-aware Differentiable Neural Architecture Search

Buang Zhang, Xinle Wu, Hao Miao et al.

A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions

Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs et al.

Maxileximin Envy Allocations and Connected Goods

Gianluigi Greco, Francesco Scarcello

Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost

Yuan Gao, WEIZHONG ZHANG, Wenhan Luo et al.

Self-supervised Shape Completion via Involution and Implicit Correspondences

Mengya Liu, Ajad Chhatkuli, Janis Postels et al.

An Information Theoretical View for Out-Of-Distribution Detection

Jinjing Hu, Wenrui Liu, Hong Chang et al.

CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning

Chenyu Sun, Hangwei Qian, Chunyan Miao

Zero-Shot Task Adaptation with Relevant Feature Information

Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara

Transferable 3D Adversarial Shape Completion using Diffusion Models

Xuelong Dai, Bin Xiao

Wavelength-Embedding-guided Filter-Array Transformer for Spectral Demosaicing

haijin zeng, Hiep Luong, Wilfried Philips

Beyond the Data Imbalance: Employing the Heterogeneous Datasets for Vehicle Maneuver Prediction

Hyeongseok Jeon, Sanmin Kim, Abi Rahman Syamil et al.

Amortized Network Intervention to Steer the Excitatory Point Processes

Zitao Song, Wendi Ren, Shuang Li

Forced Exploration in Bandit Problems

Qi Han, Li Zhu, Fei Guo

Efficient Online Crowdsourcing with Complex Annotations

Reshef Meir, Viet-An Nguyen, Xu Chen et al.

INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems

Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran et al.

Efficient Online Set-valued Classification with Bandit Feedback

Zhou Wang, Xingye Qiao

Real-time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination

Yixin Zeng, Zoubin Bi, Yin Mingrui et al.

Distributed High-Dimensional Quantile Regression: Estimation Efficiency and Support Recovery

Caixing Wang, Ziliang Shen

VONet: Unsupervised Video Object Learning With Parallel U-Net Attention and Object-wise Sequential VAE

Haonan Yu, Wei Xu

On Spectral Properties of Gradient-based Explanation Methods

Amir Mehrpanah, Erik Englesson, Hossein Azizpour

Impact of Computation in Integral Reinforcement Learning for Continuous-Time Control

Wenhan Cao, Wei Pan

A representation-learning game for classes of prediction tasks

Neria Uzan, Nir Weinberger

UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene Representation

Shuang Wu, Songlin Tang, Guangming Lu et al.

Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model

Mingxin Li, Richong Zhang, Zhijie Nie et al.

MGit: A Model Versioning and Management System

Wei Hao, Daniel Mendoza, Rafael Mendes et al.

Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging

Hilal AlQuabeh, William de Vazelhes, Bin Gu

TMPNN: High-Order Polynomial Regression Based on Taylor Map Factorization

Andrei Ivanov, Stefan Ailuro

Course Correcting Koopman Representations

Mahan Fathi, Clement Gehring, Jonathan Pilault et al.

Bayesian Power Steering: An Effective Approach for Domain Adaptation of Diffusion Models

Ding Huang, Ting Li, Jian Huang

Improving GNN Calibration with Discriminative Ability: Insights and Strategies

Yujie Fang, Xin Li, Qianyu Chen et al.

CURSOR: Scalable Mixed-Order Hypergraph Matching with CUR Decomposition

Qixuan Zheng, Ming Zhang, Hong Yan

An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series

Qiang Huang, Chuizheng Meng, Defu Cao et al.

PACE: Pose Annotations in Cluttered Environments

Yang You, kai xiong, Zhening Yang et al.

GroundUp: Rapid Sketch-Based 3D City Massing

Gizem Esra Unlu, Mohamed Sayed, Yulia Gryaditskaya et al.

DreamDrone: Text-to-Image Diffusion Models are Zero-shot Perpetual View Generators

Hanyang Kong, Dongze Lian, Michael Bi Mi et al.

Predictive Performance Comparison of Decision Policies Under Confounding

Luke Guerdan, Amanda Coston, Ken Holstein et al.

Exploring Temporal Feature Correlation for Efficient and Stable Video Semantic Segmentation

Matthieu Lin, Jenny Sheng, Yubin Hu et al.

FAFE: Immune Complex Modeling with Geodesic Distance Loss on Noisy Group Frames

Ruidong Wu, Ruihan Guo, Rui Wang et al.

Enhancing Neural Subset Selection: Integrating Background Information into Set Representations

Binghui Xie, Yatao Bian, Kaiwen Zhou et al.

ICAR: Image-Based Complementary Auto Reasoning

Xijun Wang, Anqi Liang, Junbang Liang et al.

Consistent 3D Line Mapping

Xulong Bai, Hainan Cui, Shuhan Shen

Opponent-Model Search in Games with Incomplete Information

Junkang Li, Bruno Zanuttini, Véronique Ventos

Individualized Privacy Accounting via Subsampling with Applications in Combinatorial Optimization

Badih Ghazi, Pritish Kamath, Ravi Kumar et al.

Safe Collaborative Filtering

Riku Togashi, Tatsushi Oka, Naoto Ohsaka et al.

Forget More to Learn More: Domain-specific Feature Unlearning for Semi-supervised and Unsupervised Domain Adaptation

Hritam Basak, Zhaozheng Yin

Face Reconstruction Transfer Attack as Out-of-Distribution Generalization

Yoon Gyo Jung, Jaewoo Park, Xingbo Dong et al.

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

Peer Neighborhood Mechanisms: A Framework for Mechanism Generalization

Adam Richardson, Boi Faltings

Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model

Zhejing Hu, Yan Liu, Gong Chen et al.

Data Overfitting for On-Device Super-Resolution with Dynamic Algorithm and Compiler Co-Design

Li, zhihao shu, Jie Ji et al.

Group Testing for Accurate and Efficient Range-Based Near Neighbor Search for Plagiarism Detection

Harsh Shah, Kashish Mittal, Ajit Rajwade

Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping

Yining Li, Peizhong Ju, Ness Shroff

Spatial-Contextual Discrepancy Information Compensation for GAN Inversion

BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression

Yufeng Zhang, Hang Yu, Shizhan Liu et al.

Moral Uncertainty and the Problem of Fanaticism

Jazon Szabo, Natalia Criado, Jose Such et al.

Text Motion Translator: A Bi-Directional Model for Enhanced 3D Human Motion Generation from Open-Vocabulary Descriptions

Yijun Qian, Jack Urbanek, Alexander Hauptmann et al.

IW-GAE: Importance weighted group accuracy estimation for improved calibration and model selection in unsupervised domain adaptation

Taejong Joo, Diego Klabjan

Unsupervised Episode Generation for Graph Meta-learning

Jihyeong Jung, Sangwoo Seo, Sungwon Kim et al.

Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models

Shengzhe Zhou, Zejian Li, Shengyuan Zhang et al.

Layer Compression of Deep Networks with Straight Flows

Chengyue Gong, Xiaocong Du, Bhargav Bhushanam et al.

Intelligent Switching for Reset-Free RL

Darshan Patil, Janarthanan Rajendran, Glen Berseth et al.

Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization

Yukun Wang, Kunhong Li, Minglin Chen et al.

An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks

Zhifa Ke, Zaiwen Wen, Junyu Zhang

Flat Minima in Linear Estimation and an Extended Gauss Markov Theorem

Simon Segert

Mutual Learning for Acoustic Matching and Dereverberation via Visual Scene-driven Diffusion

Jian Ma, Wenguan Wang, Yi Yang et al.

Multi-Label Supervised Contrastive Learning

Pingyue Zhang, Mengyue Wu

Bayesian Detector Combination for Object Detection with Crowdsourced Annotations

Zhi Qin Tan, Olga Isupova, Gustavo Carneiro et al.

Online Learning in Betting Markets: Profit versus Prediction

Haiqing Zhu, Alexander Soen, Yun Kuen Cheung et al.

Compositional Curvature Bounds for Deep Neural Networks

Taha Entesari, Sina Sharifi, Mahyar Fazlyab

Stochastic Bandits with ReLU Neural Networks

Kan Xu, Hamsa Bastani, Surbhi Goel et al.

PBADet: A One-Stage Anchor-Free Approach for Part-Body Association

Zhongpai Gao, Huayi Zhou, Abhishek Sharma et al.

Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following

Qiaomu Miao, Alexandros Graikos, Jingwei Zhang et al.

Deep Video Inverse Tone Mapping Based on Temporal Clues

Yuyao Ye, Ning Zhang, Yang Zhao et al.

Transferable and Principled Efficiency for Open-Vocabulary Segmentation

Jingxuan Xu, Wuyang Chen, Yao Zhao et al.

Identification for Tree-Shaped Structural Causal Models in Polynomial Time

Aaryan Gupta, Markus Bläser

Social-Aware Group Display Configuration in VR Conference

Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan et al.

Learning to Explore for Stochastic Gradient MCMC

SeungHyun Kim, Seohyeon Jung, SeongHyeon Kim et al.

Semicalibrated Relative Pose from an Affine Correspondence and Monodepth

Petr Hrubý, Marc Pollefeys, Daniel Barath

Freeview Sketching: View-Aware Fine-Grained Sketch-Based Image Retrieval

Aneeshan Sain, Pinaki Nath Chowdhury, Subhadeep Koley et al.

CriSp: Leveraging Tread Depth Maps for Enhanced Crime-Scene Shoeprint Matching

Samia Shafique, Shu Kong, Charless Fowlkes

CARB-Net: Camera-Assisted Radar-Based Network for Vulnerable Road User Detection

Wei-Yu Lee, Martin Dimitrievski, David Van Hamme et al.

Multimodal Label Relevance Ranking via Reinforcement Learning

Taian Guo, Taolin Zhang, Haoqian Wu et al.

A Probability-guided Sampler for Neural Implicit Surface Rendering

Gonçalo José Dias Pais, Valter André Piedade, Moitreya Chatterjee et al.

Towards compact reversible image representations for neural style transfer

Xiyao Liu, Siyu Yang, Jian Zhang et al.

Commonly Interesting Images

Fitim Abdullahu, Helmut Grabner

Stripe Observation Guided Inference Cost-free Attention Mechanism

Zhongzhan Huang, Shanshan Zhong, Wushao Wen et al.

Spike Distance Function as a Learning Objective for Spike Prediction

Kevin Doran, Marvin Seifert, Carola Yovanovich et al.

Exploring Active Learning in Meta-Learning: Enhancing Context Set Labeling

Wonho Bae, Jing Wang, Danica J. Sutherland

Learning to Build by Building Your Own Instructions

Aaron Walsman, Muru Zhang, Adam Fishman et al.

SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation

Mucong Ding, Bang An, Yuancheng Xu et al.

POCA: Post-training Quantization with Temporal Alignment for Codec Avatars

Jian Meng, Yuecheng Li, CHENGHUI Li et al.

An Infinite-Width Analysis on the Jacobian-Regularised Training of a Neural Network

Taeyoung Kim, Hongseok Yang

Implications of Distance over Redistricting Maps: Central and Outlier Maps

Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.

A Secure Image Watermarking Framework with Statistical Guarantees via Adversarial Attacks on Secret Key Networks

Feiyu CHEN, Wei Lin, Ziquan Liu et al.

Universal Consistency of Wide and Deep ReLU Neural Networks and Minimax Optimal Convergence Rates for Kolmogorov-Donoho Optimal Function Classes

Hyunouk Ko, Xiaoming Huo

DDAE: Towards Deep Dynamic Vision BERT Pretraining

1953 Honghao Chen, Xiangwen Kong, Xiangyu Zhang et al.

Compression of Structured Data with Autoencoders: Provable Benefit of Nonlinearities and Depth

Kevin Kögler, Aleksandr Shevchenko, Hamed Hassani et al.

Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds

Daniel Dodd, Louis Sharrock, Chris Nemeth

Robust Sparse Estimation for Gaussians with Optimal Error under Huber Contamination

Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar et al.

Optimal Mechanism in a Dynamic Stochastic Knapsack Environment

Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee et al.

Open-set Domain Adaptation via Joint Error based Multi-class Positive and Unlabeled Learning

Dexuan Zhang, Thomas Westfechtel, Tatsuya Harada

GOEmbed: Gradient Origin Embeddings for Representation Agnostic 3D Feature Learning

Animesh Karnewar, Roman Shapovalov, Tom Monnier et al.

Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation

Ri Cheng, Ruian He, Xuhao Jiang et al.

Sobolev Space Regularised Pre Density Models

Mark Kozdoba, Binyamin Perets, Shie Mannor

Privately Learning Smooth Distributions on the Hypercube by Projections

Clément Lalanne, Sébastien Gadat

The Moderating Effect of Instant Runoff Voting

Kiran Tomlinson, Johan Ugander, Jon Kleinberg

DataFreeShield: Defending Adversarial Attacks without Training Data

Hyeyoon Lee, Kanghyun Choi, Dain Kwon et al.

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization

Liang Dai, Kejie Lyu, Chengcheng Zhang et al.

Collaborative Learning with Different Labeling Functions

yuyang deng, Mingda Qiao

Defining Neural Network Architecture through Polytope Structures of Datasets

Sangmin Lee, Abbas Mammadov, Jong Chul YE

DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction

Jaehyeok Shim, Kyungdon Joo

Bones Can't Be Triangles: Accurate and Efficient Vertebrae Keypoint Estimation through Collaborative Error Revision

Jinhee Kim, Taesung Kim, Choo Jaegul

Optimizing Factorized Encoder Models: Time and Memory Reduction for Scalable and Efficient Action Recognition

Shreyank Narayana Gowda, Anurag Arnab, Jonathan Huang

MatchDet: A Collaborative Framework for Image Matching and Object Detection

Authors: Jinxiang Lai, Wenlong Wu, Bin-Bin Gao et al.

Cooperative Knowledge Distillation: A Learner Agnostic Approach

Michael Livanos, Ian Davidson, Stephen Wong

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback

GUOJUN XIONG, Jian Li

Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks

Hung Quang Nguyen, Yingjie Lao, Tung Pham et al.

Learning Conditional Invariances through Non-Commutativity

Abhra Chaudhuri, Serban Georgescu, Anjan Dutta

View From Above: Orthogonal-View aware Cross-view Localization

Shan Wang, Chuong Nguyen, Jiawei Liu et al.

A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities

Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection

3DToonify: Creating Your High-Fidelity 3D Stylized Avatar Easily from 2D Portrait Images

Yifang Men, Hanxi Liu, Yuan Yao et al.

Synthesize Diagnose and Optimize: Towards Fine-Grained Vision-Language Understanding

Wujian Peng, Sicheng Xie, Zuyao You et al.

DIOD: Self-Distillation Meets Object Discovery

Sandra Kara, Hejer AMMAR, Julien Denize et al.

Dynamic Knowledge Injection for AIXI Agents

Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter

Forecasting of 3D Whole-body Human Poses with Grasping Objects

yan haitao, Qiongjie Cui, Jiexin Xie et al.

Edge-Aware 3D Instance Segmentation Network with Intelligent Semantic Prior

Wonseok Roh, Hwanhee Jung, Giljoo Nam et al.

A Closer Look at Curriculum Adversarial Training: From an Online Perspective

Lianghe Shi, Weiwei Liu

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective

Binwu Wang, Pengkun Wang, Yudong Zhang et al.

Differentially Private Sum-Product Networks

Xenia Heilmann, Mattia Cerrato, Ernst Althaus

Don’t Drop Your Samples! Coherence-Aware Training Benefits Conditional Diffusion

Nicolas Dufour, Victor Besnier, Vicky Kalogeiton et al.

Spatial-Aware Regression for Keypoint Localization

Dongkai Wang, Shiliang Zhang

Generative Model Perception Rectification Algorithm for Trade-Off between Diversity and Quality

Guipeng Lan, Shuai Xiao, Jiachen Yang et al.

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds

Kwang In Kim

Contextual Pandora’s Box

Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli et al.

Shadow-Enlightened Image Outpainting

Hang Yu, Ruilin Li, Shaorong Xie et al.

Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification

Bin Yang, Jun Chen, Mang Ye

Approximation Scheme for Weighted Metric Clustering via Sherali-Adams

Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev et al.

Rethinking and Improving Visual Prompt Selection for In-Context Learning Segmentation Framework

Wei Suo, Lanqing Lai, Mengyang Sun et al.

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior

Ha-Yeong Choi, Sang-Hoon Lee, Seong-Whan Lee

Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models

Samar Fares, Karthik Nandakumar

CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification

Kaitao Chen, Shiliang Sun, Jing Zhao

D3still: Decoupled Differential Distillation for Asymmetric Image Retrieval

Yi Xie, Yihong Lin, Wenjie Cai et al.

LiDAR-Net: A Real-scanned 3D Point Cloud Dataset for Indoor Scenes

Yanwen Guo, Yuanqi Li, Dayong Ren et al.

MTLoRA: Low-Rank Adaptation Approach for Efficient Multi-Task Learning

Ahmed Agiza, Marina Neseem, Sherief Reda

Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption

Adil Nawaz, Guopeng Chen, Muhammad Umair Raza et al.

Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements

Naman Agarwal, Satyen Kale, Karan Singh et al.

See Say and Segment: Teaching LMMs to Overcome False Premises

Tsung-Han Wu, Giscard Biamby, David Chan et al.

Universal Weak Coreset

Ragesh Jaiswal, Amit Kumar

SD2Event:Self-supervised Learning of Dynamic Detectors and Contextual Descriptors for Event Cameras

Yuan Gao, Yuqing Zhu, Xinjun Li et al.

Tuning Stable Rank Shrinkage: Aiming at the Overlooked Structural Risk in Fine-tuning

Sicong Shen, Yang Zhou, Bingzheng Wei et al.

CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design

Yanxuan Zhao, Peng Zhang, Guopeng Sun et al.

New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem

Koji Ichikawa, Shinji Ito, Daisuke Hatano et al.

A Plug-and-Play Quaternion Message-Passing Module for Molecular Conformation Representation

Angxiao Yue, Dixin Luo, Hongteng Xu

Semi-supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach

Yu Wang, Yuxuan Yin, Karthik Somayaji NS et al.

Decentralized Scheduling with QoS Constraints: Achieving O(1) QoS Regret of Multi-Player Bandits

Qingsong Liu, Zhixuan Fang

MEPSI: An MDL-Based Ensemble Pruning Approach with Structural Information

Xiao-Dong Bi, Shao-Qun Zhang, Yuan Jiang

PaReNeRF: Toward Fast Large-scale Dynamic NeRF with Patch-based Reference

Xiao Tang, Min Yang, Penghui Sun et al.

PostureHMR: Posture Transformation for 3D Human Mesh Recovery

Yu-Pei Song, Xiao WU, Zhaoquan Yuan et al.

Causally Motivated Personalized Federated Invariant Learning with Shortcut-Averse Information-Theoretic Regularization

Xueyang Tang, Song Guo, Jingcai Guo et al.

Efficient Constrained K-center Clustering with Background Knowledge

Longkun Guo, Chaoqi Jia, Kewen Liao et al.

Dr. Bokeh: DiffeRentiable Occlusion-aware Bokeh Rendering

Yichen Sheng, Zixun Yu, Lu Ling et al.

CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation

Junao Shen, Kun Kuang, Jiaheng Wang et al.

Learning from Observer Gaze: Zero-Shot Attention Prediction Oriented by Human-Object Interaction Recognition

Yuchen Zhou, Linkai Liu, Chao Gou

Super-Resolution Reconstruction from Bayer-Pattern Spike Streams

Yanchen Dong, Ruiqin Xiong, Jian Zhang et al.