Most Cited 2024 "object categories" Papers

VPDETR: End-to-End Vanishing Point DEtection TRansformers

Taiyan Chen, Xianghua Ying, Jinfa Yang et al.

Collaborative Heterogeneous Causal Inference Beyond Meta-analysis

Tianyu Guo, Sai Praneeth Karimireddy, Michael Jordan

Data-to-Model Distillation: Data-Efficient Learning Framework

Ahmad Sajedi, Samir Khaki, Lucy Z. Liu et al.

Continual Learning for Remote Physiological Measurement: Minimize Forgetting and Simplify Inference

Qian Liang, Yan Chen, Yang Hu

Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces

Jiahong Wang, Yinwei DU, Stelian Coros et al.

Multi-modal Relation Distillation for Unified 3D Representation Learning

Huiqun Wang, Yiping Bao, Panwang Pan et al.

iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds

Dongmin Choi, Wonwoo Cho, Kangyeol Kim et al.

Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge

Meshal Alharbi, Mardavij Roozbehani, Munther Dahleh

SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers

Jonathan F. Carter, Joao Jorge, Oliver Gibson et al.

Provable Privacy with Non-Private Pre-Processing

Yaxi Hu, Amartya Sanyal, Bernhard Schölkopf

QueryCDR: Query-based Controllable Distortion Rectification Network for Fisheye Images

Pengbo Guo, Chengxu Liu, Xingsong Hou et al.

Learning Differentially Private Diffusion Models via Stochastic Adversarial Distillation

Bochao Liu, Pengju Wang, Shiming Ge

DUEL: Duplicate Elimination on Active Memory for Self-Supervised Class-Imbalanced Learning

Won-Seok Choi, Hyundo Lee, Dong-Sig Han et al.

Flash-Splat: 3D Reflection Removal with Flash Cues and Gaussian Splats

Mingyang Xie, Haoming Cai, Sachin Shah et al.

Semantic-Aware Data Augmentation for Text-to-Image Synthesis

Zhaorui Tan, Xi Yang, Kaizhu Huang

Visual Grounding for Object-Level Generalization in Reinforcement Learning

Haobin Jiang, Zongqing Lu

Co-speech Gesture Video Generation with 3D Human Meshes

Aniruddha Mahapatra, Richa Mishra, Ziyi Chen et al.

Effectiveness of Constant Stepsize in Markovian LSA and Statistical Inference

Dongyan Huo, Yudong Chen, Qiaomin Xie

Unravelling Expressive Delegations: Complexity and Normative Analysis

Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind

Masked Motion Prediction with Semantic Contrast for Point Cloud Sequence Learning

Yuehui Han, Can Xu, Rui Xu et al.

Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair

Jeonghoon Park, Chaeyeon Chung, Jaegul Choo

A Primal-Dual Algorithm for Offline Constrained Reinforcement Learning with Linear MDPs

Kihyuk Hong, Ambuj Tewari

Continuous-Time Graph Representation with Sequential Survival Process

Abdulkadir Celikkanat, Nikolaos Nakis, Morten Mørup

Few-shot Adaptation to Distribution Shifts By Mixing Source and Target Embeddings

Yihao Xue, Ali Payani, Yu Yang et al.

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality

Yunhui Guo, Youren Zhang, Yubei Chen et al.

Rolling Shutter Correction with Intermediate Distortion Flow Estimation

Mingdeng Cao, Sidi Yang, Yujiu Yang et al.

Revisiting Supervision for Continual Representation Learning

Daniel Marczak, Sebastian Cygert, Tomasz Trzcinski et al.

Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior

Qihang Fang, Yafei Song, Keqiang Li et al.

How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?

Yuxin Chen, Zongyang Ma, Ziqi Zhang et al.

Dynamic Spiking Graph Neural Networks

Yin Nan, Mengzhu Wang, Zhenghan Chen et al.

NAMER: Non-Autoregressive Modeling for Handwritten Mathematical Expression Recognition

Chenyu Liu, Jia Pan, Jinshui Hu et al.

MetaCARD: Meta-Reinforcement Learning with Task Uncertainty Feedback via Decoupled Context-Aware Reward and Dynamics Components

Min Wang, Xin Li, Leiji Zhang et al.

Research Papers

Xiangci Li, Jessica Ouyang

JDT3D: Addressing the Gaps in LiDAR-Based Tracking-by-Attention

Brian Cheong, Jiachen Zhou, Steven Waslander

Time-Varying Propensity Score to Bridge the Gap between the Past and Present

Rasool Fakoor, Jonas Mueller, Zachary Lipton et al.

From Neurons to Neutrons: A Case Study in Interpretability

Ouail Kitouni, Niklas Nolte, Víctor Samuel Pérez-Díaz et al.

Improving SAM Requires Rethinking its Optimization Formulation

Wanyun Xie, Fabian Latorre, Kimon Antonakopoulos et al.

Hypercorrelation Evolution for Video Class-Incremental Learning

Sen Liang, Kai Zhu, Wei Zhai et al.

Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval

Yan Fang, Qingyao Ai, Jingtao Zhan et al.

On the Generalization and Approximation Capacities of Neural Controlled Differential Equations

Linus Bleistein, Agathe Guilloux

HGCN2SP: Hierarchical Graph Convolutional Network for Two-Stage Stochastic Programming

Yang Wu, Yifan Zhang, Zhenxing Liang et al.

Boosting Reinforcement Learning with Strongly Delayed Feedback Through Auxiliary Short Delays

Qingyuan Wu, Simon Zhan, Yixuan Wang et al.

SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection

Jiahao Wang, Caixia Yan, Weizhan Zhang et al.

BVT-IMA: Binary Vision Transformer with Information-Modified Attention

Zhenyu Wang, Hao Luo, Xuemei Xie et al.

Analyzing Generalization in Policy Networks: A Case Study with the Double-Integrator System

Ruining Zhang, Haoran Han, Maolong Lv et al.

Regularizing Dynamic Radiance Fields with Kinematic Fields

Woobin Im, Geonho Cha, Sebin Lee et al.

CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation

Fengyuan Zuo, Zhaolin Xiao, Haiyan Jin et al.

SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images

Nir Barel, Ron Aharon Shapira Weber, Nir Mualem et al.

A Framework for Inference Inspired by Human Memory Mechanisms

Xiangyu Zeng, Jie Lin, Piao Hu et al.

Robust Angular Synchronization via Directed Graph Neural Networks

Yixuan He, Gesine Reinert, David Wipf et al.

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data

Xin Zou, Weiwei Liu

Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and Baseline

Xiaoqi Zhao, Youwei Pang, Zhenyu Chen et al.

Backward Responsibility in Transition Systems Using General Power Indices

Christel Baier, Roxane van den Bossche, Sascha Klüppelholz et al.

Robustly Train Normalizing Flows via KL Divergence Regularization

Kun Song, Ruben Solozabal Ochoa de Retana, Hao Li et al.

PanGu-Draw: Advancing Resource-Efficient Text-to-Image Synthesis with Time-Decoupled Training and Reusable Coop-Diffusion

Guansong Lu, Yuanfan Guo, Jianhua Han et al.

Molecular Optimization Model with Patentability Constraint

Sally Turutov, Kira Radinsky

Towards Establishing Guaranteed Error for Learned Database Operations

Sepanta Zeighami, Cyrus Shahabi

Respect the model: Fine-grained and Robust Explanation with Sharing Ratio Decomposition

Sangyu Han, Yearim Kim, Nojun Kwak

A Quadratic Synchronization Rule for Distributed Deep Learning

Xinran Gu, Kaifeng Lyu, Sanjeev Arora et al.

Tiny Models are the Computational Saver for Large Models

Qingyuan Wang, Barry Cardiff, Antoine Frappé et al.

Augmented Bayesian Policy Search

Mahdi Kallel, Debabrota Basu, Riad Akrour et al.

Stability-Informed Initialization of Neural Ordinary Differential Equations

Theodor Westny, Arman Mohammadi, Daniel Jung et al.

Big Learning Expectation Maximization

Yulai Cong, Sijia Li

Non-autoregressive Sequence-to-Sequence Vision-Language Models

Kunyu Shi, Qi Dong, Luis Goncalves et al.

UniCell: Universal Cell Nucleus Classification via Prompt Learning

Junjia Huang, Haofeng Li, Xiang Wan et al.

CurveCloudNet: Processing Point Clouds with 1D Structure

Colton Stearns, Alex Fu, Jiateng Liu et al.

Modeling Boundedly Rational Agents with Latent Inference Budgets

Athul Jacob, Abhishek Gupta, Jacob Andreas

Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization

Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen

Pro2SAM: Mask Prompt to SAM with Grid Points for Weakly Supervised Object Localization

Xi Yang, Songsong Duan, Nannan Wang et al.

Exploiting Dual-Correlation for Multi-frame Time-of-Flight Denoising

Guanting Dong, Yueyi Zhang, Xiaoyan Sun et al.

Beyond Expected Return: Accounting for Policy Reproducibility When Evaluating Reinforcement Learning Algorithms

Manon Flageat, Bryan Lim, Antoine Cully

Defying Imbalanced Forgetting in Class Incremental Learning

Shixiong Xu, Gaofeng Meng, Xing Nie et al.

Causal-StoNet: Causal Inference for High-Dimensional Complex Data

Yaxin Fang, Faming Liang

Transferring Learning Trajectories of Neural Networks

Daiki Chijiwa

Wasserstein Differential Privacy

Chengyi Yang, Jiayin Qi, Aimin Zhou

RVI-SAC: Average Reward Off-Policy Deep Reinforcement Learning

Yukinari Hisaki, Isao Ono

Fast Updating Truncated SVD for Representation Learning with Sparse Matrices

Haoran Deng, Yang Yang, Jiahe Li et al.

Sparse Weight Averaging with Multiple Particles for Iterative Magnitude Pruning

Moonseok Choi, Hyungi Lee, Giung Nam et al.

Optimal Kernel Choice for Score Function-based Causal Discovery

Wenjie Wang, Biwei Huang, Feng Liu et al.

Labeled Data Selection for Category Discovery

Bingchen Zhao, Nico Lang, Serge Belongie et al.

Proxyformer: Nystrom-Based Linear Transformer with Trainable Proxy Tokens

SangHo Lee, Hayun Lee, Dongkun Shin

MultiGen: Zero-shot Image Generation from Multi-modal Prompts

Zhi-Fan Wu, Lianghua Huang, Wei Wang et al.

On Universally Optimal Algorithms for A/B Testing

Po-An Wang, Kaito Ariu, Alexandre Proutiere

Towards Unified Multi-granularity Text Detection with Interactive Attention

Xingyu Wan, Chengquan Zhang, Pengyuan Lyu et al.

Decomposition Betters Tracking Everything Everywhere

Rui Li, Dong Liu

Combining Generative and Geometry Priors for Wide-Angle Portrait Correction

Lan Yao, Chaofeng Chen, Xiaoming Li et al.

Exploiting Geometry for Treatment Effect Estimation via Optimal Transport

Yuguang Yan, Zeqin Yang, Weilin Chen et al.

Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography

Kailai Zhou, Lijing Cai, Yibo Wang et al.

The importance of feature preprocessing for differentially private linear optimization

Ziteng Sun, Ananda Theertha Suresh, Aditya Krishna Menon

A Probabilistic Framework for Modular Continual Learning

Lazar Valkov, Akash Srivastava, Swarat Chaudhuri et al.

Gated Fields: Learning Scene Reconstruction from Gated Videos

Andrea Ramazzina, Stefanie Walz, Pragyan Dahal et al.

Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction

Mykhaylo Andriluka, Baruch Tabanpour, Daniel Freeman et al.

BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion

Yuming Qiao, Fanyi Wang, Jingwen Su et al.

Diffusion Models as Data Mining Tools

Ioannis Siglidis, Aleksander Holynski, Alexei Efros et al.

Implicit Neural Models to Extract Heart Rate from Video

Pradyumna Chari, Anirudh Bindiganavale Harish, Adnan Armouti et al.

ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images

Jinseo Jeong, Junseo Koo, Qimeng Zhang et al.

Benchmarking the Robustness of Cross-view Geo-localization Models

Qingwang Zhang, Yingying Zhu

MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

Colin Sullivan, Mo Tiwari, Sebastian Thrun

Improving Intrinsic Exploration by Creating Stationary Objectives

Roger Creus Castanyer, Joshua Romoff, Glen Berseth

Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments

Churan Zhi, Junbao Zhuo, Shuhui Wang

POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning

Jiayi Guan, Li Shen, Ao Zhou et al.

Relational Distant Supervision for Image Captioning without Image-Text Pairs

Yayun Qi, Wentian Zhao, Xinxiao Wu

Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision

Hussain Sajwani, Dimitrios Makris, Yahya Zweiri et al.

Adversarial Causal Bayesian Optimization

Scott Sussex, Pier Giuseppe Sessa, Anastasia Makarova et al.

Learning Solution-Aware Transformers for Efficiently Solving Quadratic Assignment Problem

Zhentao Tan, Yadong Mu

Low-Rank Knowledge Decomposition for Medical Foundation Models

Yuhang Zhou, Haolin li, Siyuan Du et al.

Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes

Chao Chen, Yushen Liu, Zhizhong Han

UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues

Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau et al.

Doubly Robust Proximal Causal Learning for Continuous Treatments

Yong Wu, Yanwei Fu, Shouyan Wang et al.

Gradual Optimization Learning for Conformational Energy Minimization

Artem Tsypin, Leonid A. Ugadiarov, Kuzma Khrabrov et al.

Implicit Maximum a Posteriori Filtering via Adaptive Optimization

Gianluca Bencomo, Jake Snell, Thomas L. Griffiths

HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes

Yichen Yao, Zimo Jiang, YUJING SUN et al.

Horizon-free Reinforcement Learning in Adversarial Linear Mixture MDPs

Kaixuan Ji, Qingyue Zhao, Jiafan He et al.

HISR: Hybrid Implicit Surface Representation for Photorealistic 3D Human Reconstruction

Angtian Wang, Yuanlu Xu, Nikolaos Sarafianos et al.

PapMOT: Exploring Adversarial Patch Attack against Multiple Object Tracking

Jiahuan Long, Tingsong Jiang, Wen Yao et al.

Prioritized Soft Q-Decomposition for Lexicographic Reinforcement Learning

Finn Rietz, Erik Schaffernicht, Stefan Heinrich et al.

MA-Net: Rethinking Neural Unit in the Light of Astrocytes

Mengqiao Han, Liyuan Pan, Xiabi Liu

Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks

Thomas Krapf, Michael Hagn, Paul Miethaner et al.

Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance

Chiraag Kaushik, Ran Liu, Chi-Heng Lin et al.

Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks

Tianyu Fan, Lirong Wu, Yufei Huang et al.

Learning Diffusions under Uncertainty

Hao Huang, Qian Yan, Keqi Han et al.

Stable Model Semantics for Description Logic Terminologies

Federica Di Stefano, Mantas Simkus

Imitation of Life: A Search Engine for Biologically Inspired Design

Hen Emuna, Nadav Borenstein, Xin Qian et al.

LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example

Soyeon Yoon, Kwan Yun, Kwanggyoon Seo et al.

Lagrangian Flow Networks for Conservation Laws

Fabricio Arend Torres, Marcello Negri, Marco Inversi et al.

Theoretical Understanding of Learning from Adversarial Perturbations

Soichiro Kumano, Hiroshi Kera, Toshihiko Yamasaki

The Balanced-Pairwise-Affinities Feature Transform

Daniel Shalam, Simon Korman

Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain

Yiming Gao, Feiyu Liu, Liang Wang et al.

Controllable Contextualized Image Captioning: Directing the Visual Narrative through User-Defined Highlights

Shunqi Mao, Chaoyi Zhang, Hang Su et al.

Efficient Nonparametric Tensor Decomposition for Binary and Count Data

Zerui Tao, Toshihisa Tanaka, Qibin Zhao

Dual-Camera Smooth Zoom on Mobile Phones

Renlong Wu, Zhilu Zhang, Yu Yang et al.

Bandits with Replenishable Knapsacks: the Best of both Worlds

Martino Bernasconi, Matteo Castiglioni, Andrea Celli et al.

KD-Club: An Efficient Exact Algorithm with New Coloring-Based Upper Bound for the Maximum K-defective Clique Problem

Jiongzhi Zheng, Mingming Jin, Kun He

Pose Adapted Shape Learning for Large-Pose Face Reenactment

Gee-Sern Hsu, Jie-Ying Zhang, Yu-Hsiang Huang et al.

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces

Xiaotian Hao, Jianye Hao, Chenjun Xiao et al.

Friendly Attacks to Improve Channel Coding Reliability

Anastasiia Kurmukova, Deniz Gunduz

LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging

Haoyang Ge, Qiao Feng, Hailong Jia et al.

InfoCon: Concept Discovery with Generative and Discriminative Informativeness

Ruizhe Liu, Qian Luo, Yanchao Yang

Decomposable Submodular Maximization in Federated Setting

Akbar Rafiey

On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition

Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston et al.

Symmetric Neural-Collapse Representations with Supervised Contrastive Loss: The Impact of ReLU and Batching

Ganesh Ramachandra Kini, Vala Vakilian, Tina Behnia et al.

Analytically Tractable Models for Decision Making under Present Bias

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach

Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai et al.

Tight Rates in Supervised Outlier Transfer Learning

Mohammadreza Mousavi Kalan, Samory Kpotufe

Symmetric Single Index Learning

Aaron Zweig, Joan Bruna

Is user feedback always informative? Retrieval Latent Defending for Semi-Supervised Domain Adaptation without Source Data

Junha Song, Tae Soo Kim, Junha Kim et al.

LogoSticker: Inserting Logos into Diffusion Models for Customized Generation

Mingkang Zhu, Xi Chen, Zhongdao Wang et al.

Input-gradient space particle inference for neural network ensembles

Trung Trinh, Markus Heinonen, Luigi Acerbi et al.

Solving the inverse problem of microscopy deconvolution with a residual Beylkin-Coifman-Rokhlin neural network

Rui Li, Mikhail Kudryashev, Artur Yakimovich

Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints

Dan Qiao, Yu-Xiang Wang

A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples

Ben Adcock, Juan Cardenas, Nick Dexter

Learning to Remove Cuts in Integer Linear Programming

Pol Puigdemont, EFSTRATIOS PANTELEIMON SKOULAKIS, Grigorios Chrysos et al.

On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design

Ziqiao Ao, Jinglai Li

Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment

Yufan Liu, Wanqian Zhang, Dayan Wu et al.

Environment Design for Inverse Reinforcement Learning

Thomas Kleine Buening, Victor Villin, Christos Dimitrakakis

ClusteringSDF: Self-Organized Neural Implicit Surfaces for 3D Decomposition

Tianhao Wu, Chuanxia Zheng, Qianyi Wu et al.

PDT Uav Target Detection Dataset for Pests and Diseases Tree

Mingle Zhou, Rui Xing, Delong Han et al.

COD: Learning Conditional Invariant Representation for Domain Adaptation Regression

Hao-Ran Yang, Chuan-Xian Ren, You-Wei Luo

Learning Planning Abstractions from Language

Weiyu Liu, Geng Chen, Joy Hsu et al.

A Simple Low-bit Quantization Framework for Video Snapshot Compressive Imaging

Miao Cao, Lishun Wang, Huan Wang et al.

Solving Hierarchical Information-Sharing Dec-POMDPs: An Extensive-Form Game Approach

Johan Peralez, Aurélien Delage, Olivier Buffet et al.

Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration

Emanuel Sanchez Aimar, Nathaniel D Helgesen, Yonghao Xu et al.

RankSEG: A Consistent Ranking-based Framework for Segmentation

Ben Dai, Chunlin Li

TexVocab: Texture Vocabulary-conditioned Human Avatars

Yuxiao Liu, Zhe Li, Yebin Liu et al.

Modality Translation for Object Detection Adaptation without forgetting prior knowledge

Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A Guerrero Pena et al.

Building Optimal Neural Architectures using Interpretable Knowledge

Keith Mills, Fred Han, Mohammad Salameh et al.

Multi-Modal Video Dialog State Tracking in the Wild

Mohamed Adnen Abdessaied, Lei Shi, Andreas Bulling

LPGD: A General Framework for Backpropagation through Embedded Optimization Layers

Anselm Paulus, Georg Martius, Vit Musil

PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation

Jinfeng Xu, Siyuan Yang, Xianzhi Li et al.

Set Learning for Accurate and Calibrated Models

Lukas Muttenthaler, Robert A Vandermeulen, Qiuyi (Richard) Zhang et al.

Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks

Zhewei Wu, Ruilong Yu, Qihe Liu et al.

Perceptual Group Tokenizer: Building Perception with Iterative Grouping

Zhiwei Deng, Ting Chen, Yang Li

Dynamic Neighborhood Construction for Structured Large Discrete Action Spaces

Fabian Akkerman, Julius Luy, Wouter van Heeswijk et al.

Learning to Obstruct Few-Shot Image Classification over Restricted Classes

Amber Yijia Zheng, Chiao-An Yang, Raymond Yeh

CoLAL: Co-learning Active Learning for Text Classification

Linh Le, Genghong Zhao, Xia Zhang et al.

Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers

Javier Grau Chopite, Patrick Hähn, Matthias B Hullin

Neural Surface Detection for Unsigned Distance Fields

Federico Stella, Nicolas Talabot, Hieu Le et al.

Disparate Impact on Group Accuracy of Linearization for Private Inference

Saswat Das, Marco Romanelli, Ferdinando Fioretto

The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm

Giseung Park, woohyeon Byeon, Seongmin Kim et al.

Deep Generative Model based Rate-Distortion for Image Downscaling Assessment

yuanbang liang, Bhavesh Garg, Paul L. Rosin et al.

On the Weight Dynamics of Deep Normalized Networks

Christian H.X. Ali Mehmeti-Göpel, Michael Wand

RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos

Ali Zare, Yulei Niu, Hammad Ayyubi et al.

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers

Navaneet K L, Soroush Abbasi Koohpayegani, Essam Sleiman et al.

Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression

Dingyuan Zhang, Dingkang Liang, Zichang Tan et al.

Infrared Adversarial Car Stickers

Xiaopei Zhu, Yuqiu Liu, Zhanhao Hu et al.

Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective

Xingdi Chen, Yu Xiong, Kai YANG

Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning

Ali Cheraghian, Zeeshan Hayder, Sameeea Ramasinghe et al.

Distributed Manifold Hashing for Image Set Classification and Retrieval

Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan et al.

Tree Search-Based Policy Optimization under Stochastic Execution Delay

David Valensi, Esther Derman, Shie Mannor et al.

Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization

Shaohan Li, Yunpeng Shi, Gilad Lerman

Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit

Duanyi YAO, Songze Li, Ye XUE et al.

Omni-Q: Omni-Directional Scene Understanding for Unsupervised Visual Grounding

Sai Wang, Yutian Lin, Yu Wu

GroupDiff: Diffusion-based Group Portrait Editing

Yuming Jiang, Nanxuan Zhao, Qing Liu et al.

Generalizable Novel-View Synthesis using a Stereo Camera

Haechan Lee, Wonjoon Jin, Seung-Hwan Baek et al.

Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks

Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics

Xueyuan Yang, Chao Yao, Xiaojuan Ban

Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval

Fan Zhang, Xian-Sheng Hua, Chong Chen et al.

Mitigating Perspective Distortion-induced Shape Ambiguity in Image Crops

Aditya Prakash, Arjun Gupta, Saurabh Gupta

MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models

Yangyu Wu, Xu Han, Wei Song et al.

Interpretable Measures of Conceptual Similarity by Complexity-Constrained Descriptive Auto-Encoding

Alessandro Achille, Greg Ver Steeg, Tian Yu Liu et al.