Most Cited 2024 "remote sensing research" Papers

Generative-Based Fusion Mechanism for Multi-Modal Tracking

Zhangyong Tang, Tianyang Xu, Xiaojun Wu et al.

Towards Epistemic-Doxastic Planning with Observation and Revision

Thorsten Engesser, Andreas Herzig, Elise Perrotin

Frequency Shuffling and Enhancement for Open Set Recognition

Lijun Liu, Rui Wang, Yuan Wang et al.

GMMFormer: Gaussian-Mixture-Model Based Transformer for Efficient Partially Relevant Video Retrieval

Yuting Wang, Jinpeng Wang, Bin Chen et al.

One Self-Configurable Model to Solve Many Abstract Visual Reasoning Problems

Mikołaj Małkiński, Jacek Mańdziuk

From Past to Future: Rethinking Eligibility Traces

Dhawal Gupta, Scott Jordan, Shreyas Chaudhari et al.

A Diffusion Model with State Estimation for Degradation-Blind Inverse Imaging

Liya Ji, ZheFan Rao, Sinno Jialin Pan et al.

Temporal-Distributed Backdoor Attack against Video Based Action Recognition

Xi Li, Songhe Wang, Ruiquan Huang et al.

Descanning: From Scanned to the Original Images with a Color Correction Diffusion Model

Junghun Cha, Ali Haider, Seoyun Yang et al.

SparseGNV: Generating Novel Views of Indoor Scenes with Sparse RGB-D Images

Weihao Cheng, Yan-Pei Cao, Ying Shan

Scale Optimization Using Evolutionary Reinforcement Learning for Object Detection on Drone Imagery

Jialu Zhang, Xiaoying Yang, Wentao He et al.

Collaborative Tooth Motion Diffusion Model in Digital Orthodontics

Yeying Fan, Guangshun Wei, Chen Wang et al.

An Information-Flow Perspective on Algorithmic Fairness

Samuel Teuber, Bernhard Beckert

KeDuSR: Real-World Dual-Lens Super-resolution via Kernel-Free Matching

Huanjing Yue, Zifan Cui, Kun Li et al.

Robustly Train Normalizing Flows via KL Divergence Regularization

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

CoVR: Learning Composed Video Retrieval from Web Video Captions

Lucas Ventura, Antoine Yang, Cordelia Schmid et al.

Double-Descent Curves in Neural Networks: A New Perspective Using Gaussian Processes

Ouns El Harzli, Bernardo Cuenca Grau, Guillermo Valle Perez et al.

Unknown-Aware Graph Regularization for Robust Semi-supervised Learning from Uncurated Data

Heejo Kong, Suneung Kim, Ho-Joong Kim et al.

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning

Xiao Tian, Rachael Hwee Ling Sim, Jue Fan et al.

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

Junao Shen, Kun Kuang, Jiaheng Wang et al.

Efficient Constrained K-center Clustering with Background Knowledge

Longkun Guo, Chaoqi Jia, Kewen Liao et al.

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

Andreas Grivas, Antonio Vergari, Adam Lopez

Detection and Defense of Unlearnable Examples

Yifan Zhu, lijia Yu, Xiao-Shan Gao

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

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

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

Qingsong Liu, Zhixuan Fang

Hierarchical Multi-Marginal Optimal Transport for Network Alignment

Zhichen Zeng, Boxin Du, Si Zhang et al.

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.

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

Angxiao Yue, Dixin Luo, Hongteng Xu

3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands

Xuan Huang, Hanhui Li, Zejun Yang 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.

Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm

Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou et al.

CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design

Yanxuan Zhao, Peng Zhang, Guopeng Sun et al.

Universal Weak Coreset

Ragesh Jaiswal, Amit Kumar

Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation

Minqin Zhu, Anpeng Wu, Haoxuan Li et al.

DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations

Guojun Xiong, Gang Yan, Shiqiang Wang et al.

RetroOOD: Understanding Out-of-Distribution Generalization in Retrosynthesis Prediction

Yemin Yu, Luotian Yuan, Ying WEI et al.

Robust Visual Imitation Learning with Inverse Dynamics Representations

Siyuan Li, Xun Wang, Rongchang Zuo et al.

Offline Model-Based Optimization via Policy-Guided Gradient Search

Yassine Chemingui, Aryan Deshwal, Nghia Hoang et al.

Generator Assisted Mixture of Experts for Feature Acquisition in Batch

Vedang Asgaonkar, Aditya Jain, Abir De

MemoryBank: Enhancing Large Language Models with Long-Term Memory

Wanjun Zhong, Lianghong Guo, Qiqi Gao et al.

Formal Logic Enabled Personalized Federated Learning through Property Inference

Ziyan An, Taylor Johnson, Meiyi Ma

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

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

Learn to Follow: Decentralized Lifelong Multi-Agent Pathfinding via Planning and Learning

Alexey Skrynnik, Anton Andreychuk, Maria Nesterova et al.

CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification

Kaitao Chen, Shiliang Sun, Jing Zhao

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

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

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

Approximation Scheme for Weighted Metric Clustering via Sherali-Adams

Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev et al.

ConceptBed: Evaluating Concept Learning Abilities of Text-to-Image Diffusion Models

Maitreya Patel, Tejas Gokhale, Chitta Baral et al.

Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs

Seungjun Lee, TaeIL Oh

Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning

Jiayu Chen, Zelai Xu, Yunfei Li et al.

Stochastic Bayesian Optimization with Unknown Continuous Context Distribution via Kernel Density Estimation

Xiaobin Huang, Lei Song, Ke Xue et al.

No Prior Mask: Eliminate Redundant Action for Deep Reinforcement Learning

Dianyu Zhong, Yiqin Yang, Qianchuan Zhao

$z$-SignFedAvg: A Unified Stochastic Sign-Based Compression for Federated Learning

Zhiwei Tang, Yanmeng Wang, Tsung-Hui Chang

Contextual Pandora’s Box

Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli et al.

Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds

Kwang In Kim

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

Guipeng Lan, Shuai Xiao, Jiachen Yang et al.

Taming Binarized Neural Networks and Mixed-Integer Programs

Johannes Aspman, Georgios Korpas, Jakub Marecek

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms

Jianhao Ding, Zhaofei Yu, Tiejun Huang et al.

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective

Binwu Wang, Pengkun Wang, Yudong Zhang et al.

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

Lianghe Shi, Weiwei Liu

Provably Convergent Federated Trilevel Learning

Yang Jiao, Kai YANG, Tiancheng Wu et al.

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context

Jiwoo Son, Minsu Kim, Sanghyeok Choi et al.

DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing

Conglong Li, Zhewei Yao, Xiaoxia Wu et al.

Dynamic Knowledge Injection for AIXI Agents

Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter

Factored Online Planning in Many-Agent POMDPs

Maris Galesloot, Thiago Simão, Sebastian Junges et al.

Principal-Agent Reward Shaping in MDPs

Omer Ben-Porat, Yishay Mansour, Michal Moshkovitz et al.

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

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

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

Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining

LimeAttack: Local Explainable Method for Textual Hard-Label Adversarial Attack

A Novel Skip Orthogonal List for Dynamic Optimal Transport Problem

Mixed-Effects Contextual Bandits

Weiwei Xiao, Yongyong Chen, Qiben Shan et al.

Beyond Attention: Breaking the Limits of Transformer Context Length with Recurrent Memory

Aydar Bulatov, Yuri Kuratov, Yermek Kapushev et al.

Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective

Zhen Qin, Feiyi Chen, Chen Zhi et al.

Transportable Representations for Domain Generalization

Kasra Jalaldoust, Elias Bareinboim

Exponential Hardness of Optimization from the Locality in Quantum Neural Networks

Hao-Kai Zhang, Chengkai Zhu, Geng Liu et al.

MFOS: Model-Free & One-Shot Object Pose Estimation

JongMin Lee, Yohann Cabon, Romain Brégier et al.

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning

Jiangmeng Li, Yifan Jin, Hang Gao et al.

PDE+: Enhancing Generalization via PDE with Adaptive Distributional Diffusion

Yige Yuan, Bingbing Xu, Bo Lin et al.

Towards Real-World Test-Time Adaptation: Tri-net Self-Training with Balanced Normalization

Yongyi Su, Xun Xu, Kui Jia

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation

Longchao Da, Porter Jenkins, Trevor Schwantes et al.

DRF: Improving Certified Robustness via Distributional Robustness Framework

Zekai Wang, Zhengyu Zhou, Weiwei Liu

Revisiting Disentanglement in Downstream Tasks: A Study on Its Necessity for Abstract Visual Reasoning

Ruiqian Nai, Zixin Wen, Ji Li et al.

Xiezhi: An Ever-Updating Benchmark for Holistic Domain Knowledge Evaluation

Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye et al.

Out of Thin Air: Exploring Data-Free Adversarial Robustness Distillation

Yuzheng Wang, Zhaoyu Chen, Dingkang Yang et al.

Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model

Zhenyu Xie, Yang Wu, Xuehao Gao et al.

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

Chen-Chen Zong, Ye-Wen Wang, Ming-Kun Xie et al.

HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning

Hongbin Pei, Taile Chen, Chen A et al.

Unsupervised Template-assisted Point Cloud Shape Correspondence Network

Jiacheng Deng, Jiahao Lu, Tianzhu Zhang

X-3D: Explicit 3D Structure Modeling for Point Cloud Recognition

Shuofeng Sun, Yongming Rao, Jiwen Lu et al.

Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset

Yujin Jeon, Eunsue Choi, Youngchan Kim et al.

Efficient Model Stealing Defense with Noise Transition Matrix

Dong-Dong Wu, Chilin Fu, Weichang Wu et al.

HOIAnimator: Generating Text-prompt Human-object Animations using Novel Perceptive Diffusion Models

Wenfeng Song, Xinyu Zhang, Shuai Li et al.

MV-Adapter: Multimodal Video Transfer Learning for Video Text Retrieval

bowen zhang, Xiaojie Jin, Weibo Gong et al.

Diffusion Models Without Attention

Jing Nathan Yan, Jiatao Gu, Alexander Rush

HDQMF: Holographic Feature Decomposition Using Quantum Algorithms

Prathyush Poduval, Zhuowen Zou, Mohsen Imani

DrivingGaussian: Composite Gaussian Splatting for Surrounding Dynamic Autonomous Driving Scenes

Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan et al.

H-ViT: A Hierarchical Vision Transformer for Deformable Image Registration

Morteza Ghahremani, Mohammad Khateri, Bailiang Jian et al.

Going Beyond Multi-Task Dense Prediction with Synergy Embedding Models

Huimin Huang, Yawen Huang, Lanfen Lin et al.

FLHetBench: Benchmarking Device and State Heterogeneity in Federated Learning

Junyuan Zhang, Shuang Zeng, Miao Zhang et al.

MR-VNet: Media Restoration using Volterra Networks

Siddharth Roheda, Amit Unde, Loay Rashid

OmniParser: A Unified Framework for Text Spotting Key Information Extraction and Table Recognition

Jianqiang Wan, Sibo Song, Wenwen Yu et al.

PortraitBooth: A Versatile Portrait Model for Fast Identity-preserved Personalization

Xu Peng, Junwei Zhu, Boyuan Jiang et al.

MULAN: A Multi Layer Annotated Dataset for Controllable Text-to-Image Generation

Petru-Daniel Tudosiu, Yongxin Yang, Shifeng Zhang et al.

Dr.Hair: Reconstructing Scalp-Connected Hair Strands without Pre-Training via Differentiable Rendering of Line Segments

Yusuke Takimoto, Hikari Takehara, Hiroyuki Sato et al.

CroSel: Cross Selection of Confident Pseudo Labels for Partial-Label Learning

Shiyu Tian, Hongxin Wei, Yiqun Wang et al.

PTM-VQA: Efficient Video Quality Assessment Leveraging Diverse PreTrained Models from the Wild

Kun Yuan, Hongbo Liu, Mading Li et al.

Improved Self-Training for Test-Time Adaptation

Jing Ma

Mudslide: A Universal Nuclear Instance Segmentation Method

Jun Wang

Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline

Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan et al.

Cache Me if You Can: Accelerating Diffusion Models through Block Caching

Felix Wimbauer, Bichen Wu, Edgar Schoenfeld et al.

Rewrite the Stars

Xu Ma, Xiyang Dai, Yue Bai et al.

Virtual Immunohistochemistry Staining for Histological Images Assisted by Weakly-supervised Learning

Jiahan Li, Jiuyang Dong, Shenjin Huang et al.

3DiffTection: 3D Object Detection with Geometry-Aware Diffusion Features

Chenfeng Xu, Huan Ling, Sanja Fidler et al.

Model Adaptation for Time Constrained Embodied Control

Jaehyun Song, Minjong Yoo, Honguk Woo

DiverGen: Improving Instance Segmentation by Learning Wider Data Distribution with More Diverse Generative Data

Chengxiang Fan, Muzhi Zhu, Hao Chen et al.

SPAD: Spatially Aware Multi-View Diffusers

Yash Kant, Aliaksandr Siarohin, Ziyi Wu et al.

SCE-MAE: Selective Correspondence Enhancement with Masked Autoencoder for Self-Supervised Landmark Estimation

Kejia Yin, Varshanth Rao, Ruowei Jiang et al.

DiffPerformer: Iterative Learning of Consistent Latent Guidance for Diffusion-based Human Video Generation

Chenyang Wang, Zerong Zheng, Tao Yu et al.

SparseOcc: Rethinking Sparse Latent Representation for Vision-Based Semantic Occupancy Prediction

Pin Tang, Zhongdao Wang, Guoqing Wang et al.

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion

Litu Rout, Yujia Chen, Abhishek Kumar et al.

Unsupervised Video Domain Adaptation with Masked Pre-Training and Collaborative Self-Training

Arun Reddy, William Paul, Corban Rivera et al.

RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection

Zhiwei Lin, Zhe Liu, Zhongyu Xia et al.

FineParser: A Fine-grained Spatio-temporal Action Parser for Human-centric Action Quality Assessment

Jinglin Xu, Sibo Yin, Guohao Zhao et al.

SceneFun3D: Fine-Grained Functionality and Affordance Understanding in 3D Scenes

Alexandros Delitzas, Ayça Takmaz, Federico Tombari et al.

MAPLM: A Real-World Large-Scale Vision-Language Benchmark for Map and Traffic Scene Understanding

Xu Cao, Tong Zhou, Yunsheng Ma et al.

Do Vision and Language Encoders Represent the World Similarly?

Mayug Maniparambil, Raiymbek Akshulakov, YASSER ABDELAZIZ DAHOU DJILALI et al.

Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle

Hyeokjun Kweon, Jihun Kim, Kuk-Jin Yoon

Customize your NeRF: Adaptive Source Driven 3D Scene Editing via Local-Global Iterative Training

Runze He, Shaofei Huang, Xuecheng Nie et al.

Construct to Associate: Cooperative Context Learning for Domain Adaptive Point Cloud Segmentation

Guangrui Li

Auto MC-Reward: Automated Dense Reward Design with Large Language Models for Minecraft

Hao Li, Xue Yang, Zhaokai Wang et al.

Wavelet-based Fourier Information Interaction with Frequency Diffusion Adjustment for Underwater Image Restoration

Chen Zhao, Weiling Cai, Chenyu Dong et al.

Generating Content for HDR Deghosting from Frequency View

Tao Hu, Qingsen Yan, Yuankai Qi et al.

Direct2.5: Diverse Text-to-3D Generation via Multi-view 2.5D Diffusion

Yuanxun Lu, Jingyang Zhang, Shiwei Li et al.

Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers

Sheng Yang, Jiawang Bai, Kuofeng Gao et al.

LL3DA: Visual Interactive Instruction Tuning for Omni-3D Understanding Reasoning and Planning

Sijin Chen, Xin Chen, Chi Zhang et al.

GenTron: Diffusion Transformers for Image and Video Generation

Shoufa Chen, Mengmeng Xu, Jiawei Ren et al.

Map-Relative Pose Regression for Visual Re-Localization

Shuai Chen, Tommaso Cavallari, Victor Adrian Prisacariu et al.

Gradient-based Parameter Selection for Efficient Fine-Tuning

Zhi Zhang, Qizhe Zhang, Zijun Gao et al.

Snap Video: Scaled Spatiotemporal Transformers for Text-to-Video Synthesis

Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov et al.

Backpropagation-free Network for 3D Test-time Adaptation

YANSHUO WANG, Ali Cheraghian, Zeeshan Hayder et al.

TransNeXt: Robust Foveal Visual Perception for Vision Transformers

Dai Shi

EfficientDreamer: High-Fidelity and Robust 3D Creation via Orthogonal-view Diffusion Priors

Zhipeng Hu, Minda Zhao, Chaoyi Zhao et al.

InstructDiffusion: A Generalist Modeling Interface for Vision Tasks

Zigang Geng, Binxin Yang, Tiankai Hang et al.

HPL-ESS: Hybrid Pseudo-Labeling for Unsupervised Event-based Semantic Segmentation

Linglin Jing, Yiming Ding, Yunpeng Gao et al.

Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences

Minyoung Hwang, Luca Weihs, Chanwoo Park et al.

Fourier Priors-Guided Diffusion for Zero-Shot Joint Low-Light Enhancement and Deblurring

Xiaoqian Lv, Shengping Zhang, Chenyang Wang et al.

Towards General Robustness Verification of MaxPool-based Convolutional Neural Networks via Tightening Linear Approximation

Yuan Xiao, Shiqing Ma, Juan Zhai et al.

RichDreamer: A Generalizable Normal-Depth Diffusion Model for Detail Richness in Text-to-3D

Lingteng Qiu, Guanying Chen, Xiaodong Gu et al.

Robust Synthetic-to-Real Transfer for Stereo Matching

Jiawei Zhang, Jiahe Li, Lei Huang et al.

Understanding and Improving Source-free Domain Adaptation from a Theoretical Perspective

Yu Mitsuzumi, Akisato Kimura, Hisashi Kashima

From Isolated Islands to Pangea: Unifying Semantic Space for Human Action Understanding

Yonglu Li, Xiaoqian Wu, Xinpeng Liu et al.

LowRankOcc: Tensor Decomposition and Low-Rank Recovery for Vision-based 3D Semantic Occupancy Prediction

Linqing Zhao, Xiuwei Xu, Ziwei Wang et al.

Overcoming Generic Knowledge Loss with Selective Parameter Update

Wenxuan Zhang, Paul Janson, Rahaf Aljundi et al.

CoDeF: Content Deformation Fields for Temporally Consistent Video Processing

Hao Ouyang, Qiuyu Wang, Yuxi Xiao et al.

BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning

Ruyang Liu, Chen Li, Yixiao Ge et al.

Video Frame Interpolation via Direct Synthesis with the Event-based Reference

Yuhan Liu, Yongjian Deng, Hao Chen et al.

Lane2Seq: Towards Unified Lane Detection via Sequence Generation

Kunyang Zhou

CorrMatch: Label Propagation via Correlation Matching for Semi-Supervised Semantic Segmentation

Bo-Yuan Sun, Yuqi Yang, Le Zhang et al.

Rethinking Boundary Discontinuity Problem for Oriented Object Detection

Hang Xu, Xinyuan Liu, Haonan Xu et al.

MCNet: Rethinking the Core Ingredients for Accurate and Efficient Homography Estimation

Haokai Zhu, Si-Yuan Cao, Jianxin Hu et al.

UniDepth: Universal Monocular Metric Depth Estimation

Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis et al.

Diffusion Model Alignment Using Direct Preference Optimization

Bram Wallace, Meihua Dang, Rafael Rafailov et al.

SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching

Xinghui Li, Jingyi Lu, Kai Han et al.

Uncertainty-Guided Never-Ending Learning to Drive

Lei Lai, Eshed Ohn-Bar, Sanjay Arora et al.

Feedback-Guided Autonomous Driving

Jimuyang Zhang, Zanming Huang, Arijit Ray et al.

Masked Autoencoders for Microscopy are Scalable Learners of Cellular Biology

Oren Kraus, Kian Kenyon-Dean, Saber Saberian et al.

Small Steps and Level Sets: Fitting Neural Surface Models with Point Guidance

Chamin Hewa Koneputugodage, Yizhak Ben-Shabat, Dylan Campbell et al.

Adapt or Perish: Adaptive Sparse Transformer with Attentive Feature Refinement for Image Restoration

Shihao Zhou, Duosheng Chen, Jinshan Pan et al.

3DGStream: On-the-Fly Training of 3D Gaussians for Efficient Streaming of Photo-Realistic Free-Viewpoint Videos

Jiakai Sun, Han Jiao, Guangyuan Li et al.

LTM: Lightweight Textured Mesh Extraction and Refinement of Large Unbounded Scenes for Efficient Storage and Real-time Rendering

Jaehoon Choi, Rajvi Shah, Qinbo Li et al.

TextCraftor: Your Text Encoder Can be Image Quality Controller

Yanyu Li, Xian Liu, Anil Kag et al.

Geometry Transfer for Stylizing Radiance Fields

Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos et al.

3D Human Pose Perception from Egocentric Stereo Videos

Hiroyasu Akada, Jian Wang, Vladislav Golyanik et al.

QN-Mixer: A Quasi-Newton MLP-Mixer Model for Sparse-View CT Reconstruction

Ishak Ayad, Nicolas Larue, Mai K. Nguyen

Check Locate Rectify: A Training-Free Layout Calibration System for Text-to-Image Generation

Biao Gong, Siteng Huang, Yutong Feng et al.

Prompt3D: Random Prompt Assisted Weakly-Supervised 3D Object Detection

Xiaohong Zhang, Huisheng Ye, Jingwen Li et al.

Boosting Self-Supervision for Single-View Scene Completion via Knowledge Distillation

Keonhee Han, Dominik Muhle, Felix Wimbauer et al.

Volumetric Environment Representation for Vision-Language Navigation

Liu, Wenguan Wang, Yi Yang

CrossKD: Cross-Head Knowledge Distillation for Object Detection

JiaBao Wang, yuming chen, Zhaohui Zheng et al.

Continual-MAE: Adaptive Distribution Masked Autoencoders for Continual Test-Time Adaptation

Jiaming Liu, Ran Xu, Senqiao Yang et al.

TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing

Sherry X. Chen, Yaron Vaxman, Elad Ben Baruch et al.

Leveraging Camera Triplets for Efficient and Accurate Structure-from-Motion

Lalit Manam, Venu Madhav Govindu

CG-HOI: Contact-Guided 3D Human-Object Interaction Generation

Christian Diller, Angela Dai

Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?

Hanxin Zhu, Tianyu He, Xin Li et al.

Resurrecting Old Classes with New Data for Exemplar-Free Continual Learning

Dipam Goswami, Albin Soutif, Yuyang Liu et al.

DIEM: Decomposition-Integration Enhancing Multimodal Insights

Xinyi Jiang, Guoming Wang, Junhao Guo et al.

Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters

Jiazuo Yu, Yunzhi Zhuge, Lu Zhang et al.

HOI-M^3: Capture Multiple Humans and Objects Interaction within Contextual Environment

Juze Zhang, Jingyan Zhang, Zining Song et al.

CORES: Convolutional Response-based Score for Out-of-distribution Detection

Keke Tang, Chao Hou, Weilong Peng et al.

Equivariant Multi-Modality Image Fusion

Zixiang Zhao, Haowen Bai, Jiangshe Zhang et al.

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

Jinfeng Xu, Siyuan Yang, Xianzhi Li et al.

NeISF: Neural Incident Stokes Field for Geometry and Material Estimation

Chenhao Li, Taishi Ono, Takeshi Uemori et al.

PromptKD: Unsupervised Prompt Distillation for Vision-Language Models

Zheng Li, Xiang Li, xinyi fu et al.

DeMatch: Deep Decomposition of Motion Field for Two-View Correspondence Learning

Shihua Zhang, Zizhuo Li, Yuan Gao et al.

Domain Gap Embeddings for Generative Dataset Augmentation

Yinong Oliver Wang, Younjoon Chung, Chen Henry Wu et al.

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation

Zhekai Du, Xinyao Li, Fengling Li et al.

TransLoc4D: Transformer-based 4D Radar Place Recognition

Guohao Peng, Heshan Li, Yangyang Zhao et al.

Higher-order Relational Reasoning for Pedestrian Trajectory Prediction

Sungjune Kim, Hyung-gun Chi, Hyerin Lim et al.