Most Cited 2024 "flow-based policies" Papers

Improving Open-Ended Text Generation via Adaptive Decoding

Wenhong Zhu, Hongkun Hao, Zhiwei He et al.

Multisize Dataset Condensation

Yang He, Lingao Xiao, Joey Tianyi Zhou et al.

T4P: Test-Time Training of Trajectory Prediction via Masked Autoencoder and Actor-specific Token Memory

Daehee Park, Jaeseok Jeong, Sung-Hoon Yoon et al.

Multiagent Multitraversal Multimodal Self-Driving: Open MARS Dataset

Yiming Li, Zhiheng Li, Nuo Chen et al.

A Novel Energy Based Model Mechanism for Multi-Modal Aspect-Based Sentiment Analysis

Tianshuo Peng, Zuchao Li, Ping Wang et al.

Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks

Wenhan Yang, Jingdong Gao, Baharan Mirzasoleiman

ViP: A Differentially Private Foundation Model for Computer Vision

Yaodong Yu, Maziar Sanjabi, Yi Ma et al.

3DSFLabelling: Boosting 3D Scene Flow Estimation by Pseudo Auto-labelling

Chaokang Jiang, Guangming Wang, Jiuming Liu et al.

On gauge freedom, conservativity and intrinsic dimensionality estimation in diffusion models

Christian Horvat, Jean-Pascal Pfister

Masked Video and Body-worn IMU Autoencoder for Egocentric Action Recognition

Mingfang Zhang, Yifei Huang, Ruicong Liu et al.

DVSAI: Diverse View-Shared Anchors Based Incomplete Multi-View Clustering

Shengju Yu, Siwei Wang, Pei Zhang et al.

Learning Hierarchical Image Segmentation For Recognition and By Recognition

Tsung-Wei Ke, Sangwoo Mo, Stella Yu

VividDreamer: Invariant Score Distillation for Hyper-Realistic Text-to-3D Generation

Wenjie Zhuo, Fan Ma, Hehe Fan et al.

COPlanner: Plan to Roll Out Conservatively but to Explore Optimistically for Model-Based RL

Xiyao Wang, Ruijie Zheng, Yanchao Sun et al.

Diverse Person: Customize Your Own Dataset for Text-Based Person Search

Zifan Song, Guosheng Hu, Cairong Zhao

A Dual-Way Enhanced Framework from Text Matching Point of View for Multimodal Entity Linking

Shezheng Song, Shan Zhao, ChengYu Wang et al.

Rethinking the Evaluation Protocol of Domain Generalization

Han Yu, Xingxuan Zhang, Renzhe Xu et al.

Adaptive Sharpness-Aware Pruning for Robust Sparse Networks

Anna Bair, Hongxu Yin, Maying Shen et al.

Gradient-Guided Modality Decoupling for Missing-Modality Robustness

COMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks

Tran Huynh, Dang Nguyen, Tung Pham et al.

Revisiting Adversarial Training Under Long-Tailed Distributions

Xinli Yue, Ningping Mou, Qian Wang et al.

SemiReward: A General Reward Model for Semi-supervised Learning

Siyuan Li, Weiyang Jin, Zedong Wang et al.

Robust Yet Efficient Conformal Prediction Sets

Soroush H. Zargarbashi, Mohammad Sadegh Akhondzadeh, Aleksandar Bojchevski

Graph Neural Network Explanations are Fragile

Jiate Li, Meng Pang, Yun Dong et al.

GRA: Detecting Oriented Objects through Group-wise Rotating and Attention

Jiangshan Wang, Yifan Pu, Yizeng Han et al.

SFPNet: Sparse Focal Point Network for Semantic Segmentation on General LiDAR Point Clouds

Yanbo Wang, Wentao Zhao, Cao Chuan et al.

Understanding the Learning Dynamics of Alignment with Human Feedback

Shawn Im, Sharon Li

PAIR Diffusion: A Comprehensive Multimodal Object-Level Image Editor

Vidit Goel, Elia Peruzzo, Yifan Jiang et al.

Text-Guided Variational Image Generation for Industrial Anomaly Detection and Segmentation

Mingyu Lee, Jongwon Choi

Layer Collaboration in the Forward-Forward Algorithm

Guy Lorberbom, Itai Gat, Yossi Adi et al.

A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks

Tommaso Salvatori, Yuhang Song, Yordan Yordanov et al.

Benchmarking Algorithms for Federated Domain Generalization

Ruqi Bai, Saurabh Bagchi, David Inouye

AssistGUI: Task-Oriented PC Graphical User Interface Automation

Difei Gao, Lei Ji, Zechen Bai et al.

Accelerating Transformer Pre-training with 2:4 Sparsity

Yuezhou Hu, Kang Zhao, Weiyu Huang et al.

Diffusion Model for Robust Multi-Sensor Fusion in 3D Object Detection and BEV Segmentation

Duy Tho Le, Hengcan Shi, Jianfei Cai et al.

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data

Xinting Liao, Weiming Liu, Chaochao Chen et al.

Denoising Diffusion via Image-Based Rendering

Titas Anciukevičius, Fabian Manhardt, Federico Tombari et al.

Privacy Amplification for Matrix Mechanisms

Christopher Choquette-Choo, Arun Ganesh, Thomas Steinke et al.

Morphable Diffusion: 3D-Consistent Diffusion for Single-image Avatar Creation

Xiyi Chen, Marko Mihajlovic, Shaofei Wang et al.

AnyControl: Create Your Artwork with Versatile Control on Text-to-Image Generation

Sun Yanan, Yanchen Liu, Yinhao Tang et al.

Text-Guided 3D Face Synthesis - From Generation to Editing

Yunjie Wu, Yapeng Meng, Zhipeng Hu et al.

RTracker: Recoverable Tracking via PN Tree Structured Memory

Yuqing Huang, Xin Li, Zikun Zhou et al.

A Simple and Effective Point-based Network for Event Camera 6-DOFs Pose Relocalization

Hongwei Ren, Jiadong Zhu, Yue Zhou et al.

Minimum width for universal approximation using ReLU networks on compact domain

Namjun Kim, Chanho Min, Sejun Park

PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning

Haiyang Guo, Fei Zhu, Wenzhuo Liu et al.

Plug-in Performative Optimization

Licong Lin, Tijana Zrnic

MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation

Sumanth Udupa, Prajwal Gurunath, Aniruddh Sikdar et al.

InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping

Zhenhua Xu, Kwan-Yee K. Wong, Hengshuang ZHAO

CPGA: Coding Priors-Guided Aggregation Network for Compressed Video Quality Enhancement

Qiang Zhu, Jinhua Hao, Yukang Ding et al.

HAVE-FUN: Human Avatar Reconstruction from Few-Shot Unconstrained Images

Xihe Yang, Xingyu Chen, Daiheng Gao et al.

Self-Training Large Language Models for Improved Visual Program Synthesis With Visual Reinforcement

Zaid Khan, Vijay Kumar BG, Samuel Schulter et al.

DeiT-LT: Distillation Strikes Back for Vision Transformer Training on Long-Tailed Datasets

Harsh Rangwani, Pradipto Mondal, Mayank Mishra et al.

Adversarial AutoMixup

Huafeng Qin, Xin Jin, Yun Jiang et al.

Instance-aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation

Xiaohan Lei, Min Wang, Wengang Zhou et al.

Multi-branch Collaborative Learning Network for 3D Visual Grounding

Zhipeng Qian, Yiwei Ma, Zhekai Lin et al.

HiPose: Hierarchical Binary Surface Encoding and Correspondence Pruning for RGB-D 6DoF Object Pose Estimation

Yongliang Lin, Yongzhi Su, Praveen Nathan et al.

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition

Zhiyong Yang, Qianqian Xu, Zitai Wang et al.

DaReNeRF: Direction-aware Representation for Dynamic Scenes

Ange Lou, Benjamin Planche, Zhongpai Gao et al.

LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model

Dongkai Wang, shiyu xuan, Shiliang Zhang

Efficient Multi-agent Reinforcement Learning by Planning

Qihan Liu, Jianing Ye, Xiaoteng Ma et al.

Improving Virtual Try-On with Garment-focused Diffusion Models

Siqi Wan, Yehao Li, Jingwen Chen et al.

Exploring the Transferability of Visual Prompting for Multimodal Large Language Models

Yichi Zhang, Yinpeng Dong, Siyuan Zhang et al.

Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation

Junyan Wang, Zhenhong Sun, Stewart Tan et al.

Position: Categorical Deep Learning is an Algebraic Theory of All Architectures

Bruno Gavranović, Paul Lessard, Andrew Dudzik et al.

ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer

Zachary Horvitz, Ajay Patel, Chris Callison-Burch et al.

CoVLM: Composing Visual Entities and Relationships in Large Language Models Via Communicative Decoding

Junyan Li, Delin Chen, Yining Hong et al.

Relightable and Animatable Neural Avatars from Videos

Wenbin Lin, Chengwei Zheng, Jun-hai Yong et al.

Towards 3D Vision with Low-Cost Single-Photon Cameras

Fangzhou Mu, Carter Sifferman, Sacha Jungerman et al.

Geometric-Facilitated Denoising Diffusion Model for 3D Molecule Generation

6428 Can Xu, Haosen Wang, Weigang Wang et al.

Octavius: Mitigating Task Interference in MLLMs via LoRA-MoE

Zeren Chen, ziqin wang, zhen wang et al.

PetFace: A Large-Scale Dataset and Benchmark for Animal Identification

Risa Shinoda, Kaede Shiohara

FaceChain-ImagineID: Freely Crafting High-Fidelity Diverse Talking Faces from Disentangled Audio

Chao Xu, Yang Liu, Jiazheng Xing et al.

Memorization in Self-Supervised Learning Improves Downstream Generalization

Wenhao Wang, Muhammad Ahmad Kaleem, Adam Dziedzic et al.

UniCorn: A Unified Contrastive Learning Approach for Multi-view Molecular Representation Learning

Shikun Feng, Yuyan Ni, Li et al.

Lifting by Image – Leveraging Image Cues for Accurate 3D Human Pose Estimation

Feng Zhou, Jianqin Yin, Peiyang Li

Verification of Machine Unlearning is Fragile

Binchi Zhang, Zihan Chen, Cong Shen et al.

Project-Fair and Truthful Mechanisms for Budget Aggregation

Rupert Freeman, Ulrike Schmidt-Kraepelin

Revealing Vision-Language Integration in the Brain with Multimodal Networks

Vighnesh Subramaniam, Colin Conwell, Christopher Wang et al.

Dataset Enhancement with Instance-Level Augmentations

Orest Kupyn, Christian Rupprecht

RAW-Adapter: Adapting Pretrained Visual Model to Camera RAW Images

Ziteng Cui, Tatsuya Harada

CoPL: Contextual Prompt Learning for Vision-Language Understanding

Koustava Goswami, Srikrishna Karanam, Prateksha Udhayanan et al.

Social Physics Informed Diffusion Model for Crowd Simulation

Hongyi Chen, Jingtao Ding, Yong Li et al.

Weakly Convex Regularisers for Inverse Problems: Convergence of Critical Points and Primal-Dual Optimisation

Zakhar Shumaylov, Jeremy Budd, Subhadip Mukherjee et al.

Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal

Yeying Jin, Xin Li, Jiadong Wang et al.

GSD: View-Guided Gaussian Splatting Diffusion for 3D Reconstruction

Yuxuan Mu, Xinxin Zuo, Chuan Guo et al.

Optimizing Watermarks for Large Language Models

Bram Wouters

A New Mechanism for Eliminating Implicit Conflict in Graph Contrastive Learning

Dongxiao He, Jitao Zhao, Cuiying Huo et al.

Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents

Yuqi Jia, Saeed Vahidian, Jingwei Sun et al.

CC-SAM: Enhancing SAM with Cross-feature Attention and Context for Ultrasound Image Segmentation

Shreyank Narayana Gowda, David A Clifton

Every Node Is Different: Dynamically Fusing Self-Supervised Tasks for Attributed Graph Clustering

Pengfei Zhu, Qian Wang, Yu Wang et al.

MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion Models

Sanjoy Chowdhury, Sayan Nag, Joseph K J et al.

CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning

Ziyang Gong, FuHao Li, Yupeng Deng et al.

Neural Collapse for Cross-entropy Class-Imbalanced Learning with Unconstrained ReLU Features Model

Hien Dang, Tho Tran Huu, Tan Nguyen et al.

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion Inference

Zihao Yu, Haoyang Li, Fangcheng Fu et al.

Enhancing High-Resolution 3D Generation through Pixel-wise Gradient Clipping

Zijie Pan, Jiachen Lu, Xiatian Zhu et al.

Label-Agnostic Forgetting: A Supervision-Free Unlearning in Deep Models

Shaofei Shen, Chenhao Zhang, Yawen Zhao et al.

Energy-based Automated Model Evaluation

Ru Peng, Heming Zou, Haobo Wang et al.

A connection between Tempering and Entropic Mirror Descent

Nicolas Chopin, Francesca R Crucinio, Anna Korba

Towards Modern Image Manipulation Localization: A Large-Scale Dataset and Novel Methods

Chenfan Qu, Yiwu Zhong, Chongyu Liu et al.

Implicit Concept Removal of Diffusion Models

Zhili LIU, Kai Chen, Yifan Zhang et al.

Inherent Trade-Offs between Diversity and Stability in Multi-Task Benchmarks

Guanhua Zhang, Moritz Hardt

$f$-Divergence Based Classification: Beyond the Use of Cross-Entropy

Nicola Novello, Andrea Tonello

Understanding Video Transformers via Universal Concept Discovery

Matthew Kowal, Achal Dave, Rares Andrei Ambrus et al.

Scalable Wasserstein Gradient Flow for Generative Modeling through Unbalanced Optimal Transport

Jaemoo Choi, Jaewoong Choi, Myungjoo Kang

Image Captioning with Multi-Context Synthetic Data

Feipeng Ma, Y. Zhou, Fengyun Rao et al.

SFOD: Spiking Fusion Object Detector

Yimeng Fan, Wei Zhang, Changsong Liu et al.

Shadow Generation for Composite Image Using Diffusion Model

Qingyang Liu, Junqi You, Jian-Ting Wang et al.

Synchronization is All You Need: Exocentric-to-Egocentric Transfer for Temporal Action Segmentation with Unlabeled Synchronized Video Pairs

Camillo Quattrocchi, Antonino Furnari, Daniele Di Mauro et al.

Understanding Heterophily for Graph Neural Networks

Junfu Wang, Yuanfang Guo, Liang Yang et al.

Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment

Luyao Wang, Pengnian Qi, Xigang Bao et al.

Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning

Arvi Jonnarth, Jie Zhao, Michael Felsberg

Object-Conditioned Energy-Based Attention Map Alignment in Text-to-Image Diffusion Models

Yasi Zhang, Peiyu Yu, Ying Nian Wu

WaveFace: Authentic Face Restoration with Efficient Frequency Recovery

Yunqi Miao, Jiankang Deng, Jungong Han

Chain of Generation: Multi-Modal Gesture Synthesis via Cascaded Conditional Control

Zunnan Xu, Yachao Zhang, Sicheng Yang et al.

Robust Synthetic-to-Real Transfer for Stereo Matching

Jiawei Zhang, Jiahe Li, Lei Huang et al.

Almost Envy-Free Allocations of Indivisible Goods or Chores with Entitlements

Max Springer, MohammadTaghi Hajiaghayi, Hadi Yami

Understanding Forgetting in Continual Learning with Linear Regression

Meng Ding, Kaiyi Ji, Di Wang et al.

Learning to Detect Multi-class Anomalies with Just One Normal Image Prompt

Bin-Bin Gao

Pathology-knowledge Enhanced Multi-instance Prompt Learning for Few-shot Whole Slide Image Classification

Linhao Qu, Dingkang Yang, Dan Huang et al.

Efficient World Models with Context-Aware Tokenization

Vincent Micheli, Eloi Alonso, François Fleuret

On the Independence Assumption in Neurosymbolic Learning

Emile van Krieken, Pasquale Minervini, Edoardo Ponti et al.

LED: A Large-scale Real-world Paired Dataset for Event Camera Denoising

Yuxing Duan

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

Runze He, Shaofei Huang, Xuecheng Nie et al.

Unprocessing Seven Years of Algorithmic Fairness

André F. Cruz, Moritz Hardt

Data Valuation and Detections in Federated Learning

Wenqian Li, Shuran Fu, Fengrui Zhang et al.

HarmonyDream: Task Harmonization Inside World Models

Haoyu Ma, Jialong Wu, Ningya Feng et al.

Beta-Tuned Timestep Diffusion Model

Tianyi Zheng, Peng-Tao Jiang, Ben Wan et al.

De novo Protein Design Using Geometric Vector Field Networks

weian mao, Muzhi Zhu, Zheng Sun et al.

Learning from Students: Applying t-Distributions to Explore Accurate and Efficient Formats for LLMs

Jordan Dotzel, Yuzong Chen, Bahaa Kotb et al.

On the Sample Complexity and Metastability of Heavy-tailed Policy Search in Continuous Control

Amrit Singh Bedi, Anjaly Parayil, Junyu Zhang et al.

Thinking Outside the BBox: Unconstrained Generative Object Compositing

Gemma Canet Tarrés, Zhe Lin, Zhifei Zhang et al.

Beyond Average: Individualized Visual Scanpath Prediction

Xianyu Chen, Ming Jiang, Qi Zhao

Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification

Reza Esfandiarpoor, Stephen Bach

Blur-aware Spatio-temporal Sparse Transformer for Video Deblurring

Huicong Zhang, Haozhe Xie, Hongxun Yao

The Privacy Power of Correlated Noise in Decentralized Learning

Youssef Allouah, Anastasiia Koloskova, Aymane Firdoussi et al.

STDiff: Spatio-Temporal Diffusion for Continuous Stochastic Video Prediction

Xi Ye, Guillaume-Alexandre Bilodeau

SWAP-NAS: Sample-Wise Activation Patterns for Ultra-fast NAS

Yameng Peng, Andy Song, Haytham Fayek et al.

Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues

Bobo Li, Hao Fei, Lizi Liao et al.

DyBluRF: Dynamic Neural Radiance Fields from Blurry Monocular Video

Huiqiang Sun, Xingyi Li, Liao Shen et al.

MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation

Min Zhang, Haoxuan Li, Fei Wu et al.

MM-Point: Multi-View Information-Enhanced Multi-Modal Self-Supervised 3D Point Cloud Understanding

HaiTao Yu, Mofei Song

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

Zhen Qin, Feiyi Chen, Chen Zhi et al.

Robust Incremental Structure-from-Motion with Hybrid Features

Shaohui Liu, Yidan Gao, Tianyi Zhang et al.

FreePoint: Unsupervised Point Cloud Instance Segmentation

Zhikai Zhang, Jian Ding, Li Jiang et al.

Keypoint Promptable Re-Identification

Vladimir Somers, Alexandre ALahi, Christophe De Vleeschouwer

CoReS: Orchestrating the Dance of Reasoning and Segmentation

Xiaoyi Bao, Siyang Sun, Shuailei Ma et al.

Scaling Tractable Probabilistic Circuits: A Systems Perspective

Anji Liu, Kareem Ahmed, Guy Van den Broeck

Cloud-Device Collaborative Learning for Multimodal Large Language Models

Guanqun Wang, Jiaming Liu, Chenxuan Li et al.

Connecting Consistency Distillation to Score Distillation for Text-to-3D Generation

Zongrui Li, Minghui Hu, Qian Zheng et al.

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

Seungjun Lee, TaeIL Oh

Non-confusing Generation of Customized Concepts in Diffusion Models

Wang Lin, Jingyuan CHEN, Jiaxin Shi et al.

Latent Diffusion Prior Enhanced Deep Unfolding for Snapshot Spectral Compressive Imaging

Zongliang Wu, Ruiying Lu, Ying Fu et al.

Choose What You Need: Disentangled Representation Learning for Scene Text Recognition Removal and Editing

Boqiang Zhang, Hongtao Xie, Zuan Gao et al.

PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling

Ruizhe Zhong, Junjie Ye, Zhentao Tang et al.

Deep Quantum Error Correction

Yoni Choukroun, Lior Wolf

On the Expressive Power of Spectral Invariant Graph Neural Networks

Bohang Zhang, Lingxiao Zhao, Haggai Maron

FedMef: Towards Memory-efficient Federated Dynamic Pruning

Hong Huang, Weiming Zhuang, Chen Chen et al.

Locality Sensitive Sparse Encoding for Learning World Models Online

Zichen Liu, Chao Du, Wee Sun Lee et al.

Traffic Flow Optimisation for Lifelong Multi-Agent Path Finding

Zhe Chen, Daniel Harabor, Jiaoyang Li et al.

End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon

Guillaume Bono, Leonid Antsfeld, Boris Chidlovskii et al.

Learning Energy-Based Models by Cooperative Diffusion Recovery Likelihood

yaxuan zhu, Jianwen Xie, Yingnian Wu et al.

X-Adapter: Adding Universal Compatibility of Plugins for Upgraded Diffusion Model

Lingmin Ran, Xiaodong Cun, Jia-Wei Liu et al.

Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport

Xuxin Cheng, Zhihong Zhu, Hongxiang Li et al.

What Do You See in Vehicle? Comprehensive Vision Solution for In-Vehicle Gaze Estimation

Yihua Cheng, Yaning Zhu, Zongji Wang et al.

Deep Homography Estimation for Visual Place Recognition

Feng Lu, Shuting Dong, Lijun Zhang et al.

Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark

Mengxi Ya, Yiming Li, Tao Dai et al.

BeNeRF:Neural Radiance Fields from a Single Blurry Image and Event Stream

Wenpu Li, Pian Wan, Peng Wang et al.

DiffInDScene: Diffusion-based High-Quality 3D Indoor Scene Generation

Xiaoliang Ju, Zhaoyang Huang, Yijin Li et al.

Spectral-Based Graph Neutral Networks for Complementary Item Recommendation

Haitong Luo, Xuying Meng, Suhang Wang et al.

DHGCN: Dynamic Hop Graph Convolution Network for Self-Supervised Point Cloud Learning

Jincen Jiang, Lizhi Zhao, Xuequan Lu et al.

Conformal Prediction via Regression-as-Classification

Etash Guha, Shlok Natarajan, Thomas Möllenhoff et al.

Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression

Runtian Zhai, Bingbin Liu, Andrej Risteski et al.

Multi-Source Conformal Inference Under Distribution Shift

Yi Liu, Alexander Levis, Sharon-Lise Normand et al.

PartSTAD: 2D-to-3D Part Segmentation Task Adaptation

Hyunjin Kim, Minhyuk Sung

Dense Projection for Anomaly Detection

Dazhi Fu, Zhao Zhang, Jicong Fan

Variance-aware Regret Bounds for Stochastic Contextual Dueling Bandits

Qiwei Di, Tao Jin, Yue Wu et al.

Stitching Sub-trajectories with Conditional Diffusion Model for Goal-Conditioned Offline RL

Sungyoon Kim, Yunseon Choi, Daiki Matsunaga et al.

ViTEraser: Harnessing the Power of Vision Transformers for Scene Text Removal with SegMIM Pretraining

Dezhi Peng, Chongyu Liu, Yuliang Liu et al.

Revisiting Document-Level Relation Extraction with Context-Guided Link Prediction

Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru et al.

Diffusion Model is a Good Pose Estimator from 3D RF-Vision

Junqiao Fan, Jianfei Yang, Yuecong Xu et al.

GaussReg: Fast 3D Registration with Gaussian Splatting

Jiahao Chang, Yinglin Xu, Yihao Li et al.

From-Ground-To-Objects: Coarse-to-Fine Self-supervised Monocular Depth Estimation of Dynamic Objects with Ground Contact Prior

Jaeho Moon, Juan Luis Gonzalez Bello, Byeongjun Kwon et al.

PARE-Net: Position-Aware Rotation-Equivariant Networks for Robust Point Cloud Registration

Runzhao Yao, Shaoyi Du, Wenting Cui et al.

Uncertainty for Active Learning on Graphs

Dominik Fuchsgruber, Tom Wollschläger, Bertrand Charpentier et al.

Discrete Latent Perspective Learning for Segmentation and Detection

Deyi Ji, Feng Zhao, Lanyun Zhu et al.

Optimizing Diffusion Models for Joint Trajectory Prediction and Controllable Generation

Yixiao Wang, Chen Tang, Lingfeng Sun et al.

Optimal Attack and Defense for Reinforcement Learning

Jeremy McMahan, Young Wu, Xiaojin Zhu et al.

SuperGaussian: Repurposing Video Models for 3D Super Resolution

Yuan Shen, Duygu Ceylan, Paul Guerrero et al.

Generating Images with 3D Annotations Using Diffusion Models

Wufei Ma, Qihao Liu, Jiahao Wang et al.

Prompt-Based Test-Time Real Image Dehazing: A Novel Pipeline

Zixuan Chen, Zewei He, Ziqian Lu et al.

CycleINR: Cycle Implicit Neural Representation for Arbitrary-Scale Volumetric Super-Resolution of Medical Data

Wei Fang, Yuxing Tang, Heng Guo et al.

Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model

Karsten Roth, Lukas Thede, A. Sophia Koepke et al.

Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains

Kyungeun Lee, Ye Seul Sim, Hye-Seung Cho et al.

Visual Alignment Pre-training for Sign Language Translation

Peiqi Jiao, Yuecong Min, Xilin CHEN

Scaling and Masking: A New Paradigm of Data Sampling for Image and Video Quality Assessment

Yongxu Liu, Yinghui Quan, Guoyao Xiao et al.

What Effects the Generalization in Visual Reinforcement Learning: Policy Consistency with Truncated Return Prediction

Shuo Wang, Zhihao Wu, X. Hu et al.

Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval

Haochen Han, Qinghua Zheng, Guang Dai et al.

Single-to-Dual-View Adaptation for Egocentric 3D Hand Pose Estimation

Ruicong Liu, Takehiko Ohkawa, Mingfang Zhang et al.

Deep Diffusion Image Prior for Efficient OOD Adaptation in 3D Inverse Problems

Hyungjin Chung, Jong Chul Ye

From Vision to Audio and Beyond: A Unified Model for Audio-Visual Representation and Generation

Kun Su, Xiulong Liu, Eli Shlizerman