Most Cited 2024 "procedural program generation" Papers

Unsqueeze [CLS] Bottleneck to Learn Rich Representations

Qing Su, Shihao Ji

Hierarchical Novelty Detection via Fine-Grained Evidence Allocation

Spandan Pyakurel, Qi Yu

DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models

Yuyang Huang, Yabo Chen, Yuchen Liu et al.

Efficient Constrained K-center Clustering with Background Knowledge

Longkun Guo, Chaoqi Jia, Kewen Liao et al.

Multi-Resolution Diffusion Models for Time Series Forecasting

Lifeng Shen, Weiyu Chen, James Kwok

Towards Efficient Training and Evaluation of Robust Models against $l_0$ Bounded Adversarial Perturbations

Xuyang Zhong, Yixiao HUANG, Chen Liu

Position: AI-Powered Autonomous Weapons Risk Geopolitical Instability and Threaten AI Research

Riley Simmons-Edler, Ryan Badman, Shayne Longpre et al.

DeepSPF: Spherical SO(3)-Equivariant Patches for Scan-to-CAD Estimation

Driton Salihu, Adam Misik, Yuankai Wu et al.

TrajPrompt: Aligning Color Trajectory with Vision-Language Representations

Li-Wu Tsao, Hao-Tang Tsui, Yu-Rou Tuan et al.

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

Position: Intent-aligned AI Systems Must Optimize for Agency Preservation

Catalin Mitelut, Benjamin Smith, Peter Vamplew

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.

On the Convergence of Projected Bures-Wasserstein Gradient Descent under Euclidean Strong Convexity

Junyi FAN, Yuxuan Han, Zijian Liu et al.

Prompt Gradient Projection for Continual Learning

Jingyang Qiao, Zhizhong Zhang, Xin Tan et al.

Beyond Seen Primitive Concepts and Attribute-Object Compositional Learning

Nirat Saini, Khoi Pham, Abhinav Shrivastava

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

Angxiao Yue, Dixin Luo, Hongteng Xu

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

Koji Ichikawa, Shinji Ito, Daisuke Hatano et al.

Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture

ShahRukh Athar, Shunsuke Saito, Stanislav Pidhorskyi 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

GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation Demonstration and Imitation

Zifan Wang, Junyu Chen, Ziqing Chen et al.

Fixed Non-negative Orthogonal Classifier: Inducing Zero-mean Neural Collapse with Feature Dimension Separation

Hoyong Kim, Kangil Kim

PBWR: Parametric-Building-Wireframe Reconstruction from Aerial LiDAR Point Clouds

Shangfeng Huang, Ruisheng Wang, Bo Guo et al.

A Unified Adaptive Testing System Enabled by Hierarchical Structure Search

Junhao Yu, Yan Zhuang, Zhenya Huang et al.

Sparse Autoencoders Find Highly Interpretable Features in Language Models

Robert Huben, Hoagy Cunningham, Logan Smith et al.

Exploiting Human-AI Dependence for Learning to Defer

Zixi Wei, Yuzhou Cao, Lei Feng

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

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

Towards General Algorithm Discovery for Combinatorial Optimization: Learning Symbolic Branching Policy from Bipartite Graph

Yufei Kuang, Jie Wang, Yuyan Zhou et al.

CaMIL: Causal Multiple Instance Learning for Whole Slide Image Classification

Kaitao Chen, Shiliang Sun, Jing Zhao

Bootstrapping SparseFormers from Vision Foundation Models

Ziteng Gao, Zhan Tong, Kevin Qinghong Lin et al.

Flexible Residual Binarization for Image Super-Resolution

Yulun Zhang, Haotong Qin, Zixiang Zhao et al.

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

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

Predicting Dose-Response Curves with Deep Neural Networks

Pedro A. Campana, Paul Prasse, Tobias Scheffer

UV-IDM: Identity-Conditioned Latent Diffusion Model for Face UV-Texture Generation

Hong Li, Yutang Feng, Song Xue et al.

Approximation Scheme for Weighted Metric Clustering via Sherali-Adams

Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev et al.

Contextual Pandora’s Box

Alexia Atsidakou, Constantine Caramanis, Evangelia Gergatsouli et al.

NAPGuard: Towards Detecting Naturalistic Adversarial Patches

Siyang Wu, Jiakai Wang, Jiejie Zhao et al.

Tilt and Average : Geometric Adjustment of the Last Layer for Recalibration

Gyusang Cho, Chan-Hyun Youn

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.

A Physics-informed Low-rank Deep Neural Network for Blind and Universal Lens Aberration Correction

Jin Gong, Runzhao Yang, Weihang Zhang et al.

CAMEL: CAusal Motion Enhancement Tailored for Lifting Text-driven Video Editing

Guiwei Zhang, Tianyu Zhang, Guanglin Niu et al.

Exploring Pose-Aware Human-Object Interaction via Hybrid Learning

EASTMAN Z Y WU, Yali Li, Yuan Wang et al.

Implicit Representations for Constrained Image Segmentation

Jan Philipp Schneider, Mishal Fatima, Jovita Lukasik et al.

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective

Binwu Wang, Pengkun Wang, Yudong Zhang et al.

When is Transfer Learning Possible?

My Phan, Kianté Brantley, Stephanie Milani et al.

Improving Context Understanding in Multimodal Large Language Models via Multimodal Composition Learning

Wei Li, Hehe Fan, Yongkang Wong et al.

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

Lianghe Shi, Weiwei Liu

You Only Query Once: An Efficient Label-Only Membership Inference Attack

Yutong Wu, Han Qiu, Shangwei Guo et al.

Scalable Safe Policy Improvement for Factored Multi-Agent MDPs

Federico Bianchi, Edoardo Zorzi, Alberto Castellini et al.

AttEXplore: Attribution for Explanation with model parameters eXploration

Zhiyu Zhu, Huaming Chen, Jiayu Zhang et al.

Generalization Analysis for Multi-Label Learning

Yi-Fan Zhang, Min-Ling Zhang

Dynamic Knowledge Injection for AIXI Agents

Samuel Yang-Zhao, Kee Siong Ng, Marcus Hutter

On Bias-Variance Alignment in Deep Models

Lin Chen, Michal Lukasik, Wittawat Jitkrittum et al.

iMatching: Imperative Correspondence Learning

Chen Wang, Dasong Gao, Yun-Jou Lin et al.

The Reversal Curse: LLMs trained on “A is B” fail to learn “B is A”

Lukas Berglund, Meg Tong, Maximilian Kaufmann et al.

Lightweight Image Super-Resolution via Flexible Meta Pruning

Yulun Zhang, Kai Zhang, Luc Van Gool et al.

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

Weaker MVI Condition: Extragradient Methods with Multi-Step Exploration

Yifeng Fan, Yongqiang Li, Bo Chen

Fundamental Limits of Distributed Covariance Matrix Estimation Under Communication Constraints

Mohammad Reza Rahmani, Mohammad Hossein Yassaee, Mohammad Ali Maddah Ali et al.

Sign Rank Limitations for Inner Product Graph Decoders

Su Hyeong Lee, QINGQI ZHANG, Risi Kondor

AnyHome: Open-Vocabulary Large-Scale Indoor Scene Generation with First-Person View Exploration

Rao Fu, Zehao Wen, Zichen Liu et al.

On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback

Ziwei Guan, Yi Zhou, Yingbin Liang

MMD Graph Kernel: Effective Metric Learning for Graphs via Maximum Mean Discrepancy

Yan Sun, Jicong Fan

AnyScene: Customized Image Synthesis with Composited Foreground

Ruidong Chen, Lanjun Wang, Weizhi Nie et al.

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

Mixed-Effects Contextual Bandits

Weiwei Xiao, Yongyong Chen, Qiben Shan et al.

ReLU Network with Width $d+\mathcal{O}(1)$ Can Achieve Optimal Approximation Rate

Chenghao Liu, Minghua Chen

Characterizing ResNet's Universal Approximation Capability

Chenghao Liu, Enming Liang, Minghua Chen

Position: Social Choice Should Guide AI Alignment in Dealing with Diverse Human Feedback

Vincent Conitzer, Rachel Freedman, Jobstq Heitzig et al.

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

Aydar Bulatov, Yuri Kuratov, Yermek Kapushev et al.

Minimum Norm Interpolation Meets The Local Theory of Banach Spaces

Gil Kur, Pedro Abdalla, Pierre Bizeul 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.

Training Graph Transformers via Curriculum-Enhanced Attention Distillation

Yisong Huang, Jin Li, Xinlong Chen et al.

DRF: Improving Certified Robustness via Distributional Robustness Framework

Zekai Wang, Zhengyu Zhou, Weiwei Liu

Forward $\chi^2$ Divergence Based Variational Importance Sampling

Chengrui Li, Yule Wang, Weihan Li et al.

Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks

Shih-Hsin Wang, Yung-Chang Hsu, Justin Baker et al.

Boosting Graph Anomaly Detection with Adaptive Message Passing

Jingyan Chen, Guanghui Zhu, Chunfeng Yuan et al.

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

Hongbin Pei, Taile Chen, Chen A et al.

Task2Box: Box Embeddings for Modeling Asymmetric Task Relationships

Rangel Daroya, Aaron Sun, Subhransu Maji

A Simple Romance Between Multi-Exit Vision Transformer and Token Reduction

Dongyang Liu, Meina Kan, Shiguang Shan et al.

Latent Trajectory Learning for Limited Timestamps under Distribution Shift over Time

Qiuhao Zeng, Changjian Shui, Long-Kai Huang et al.

Efficient Model Stealing Defense with Noise Transition Matrix

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

Position: Video as the New Language for Real-World Decision Making

Sherry Yang, Jacob C Walker, Jack Parker-Holder et al.

Learning to Select Views for Efficient Multi-View Understanding

Yunzhong Hou, Stephen Gould, Liang Zheng

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

Wenfeng Song, Xinyu Zhang, Shuai Li et al.

Position: Will we run out of data? Limits of LLM scaling based on human-generated data

Pablo Villalobos, Anson Ho, Jaime Sevilla et al.

Meta Continual Learning Revisited: Implicitly Enhancing Online Hessian Approximation via Variance Reduction

Yichen Wu, Long-Kai Huang, Renzhen Wang et al.

Online Stabilization of Spiking Neural Networks

Yaoyu Zhu, Jianhao Ding, Tiejun Huang et al.

PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation

Haopeng Sun, Lumin Xu, Sheng Jin et al.

A Study of First-Order Methods with a Deterministic Relative-Error Gradient Oracle

Nadav Hallak, Kfir Levy

HDQMF: Holographic Feature Decomposition Using Quantum Algorithms

Prathyush Poduval, Zhuowen Zou, Mohsen Imani

Bilateral Adaptation for Human-Object Interaction Detection with Occlusion-Robustness

Guangzhi Wang, Yangyang Guo, Ziwei Xu et al.

Efficient Value Iteration for s-rectangular Robust Markov Decision Processes

Navdeep Kumar, Kaixin Wang, Kfir Levy et al.

GNNCert: Deterministic Certification of Graph Neural Networks against Adversarial Perturbations

Zaishuo Xia, Han Yang, Binghui Wang et al.

REWIND: Real-Time Egocentric Whole-Body Motion Diffusion with Exemplar-Based Identity Conditioning

Jian Wang, Zhe Cao, Diogo Luvizon et al.

Parameter-Dependent Competitive Analysis for Online Capacitated Coverage Maximization through Boostings and Attenuations

Pan Xu

Promoting External and Internal Equities Under Ex-Ante/Ex-Post Metrics in Online Resource Allocation

Karthik Abinav Sankararaman, Aravind Srinivasan, Pan Xu

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.

MR-VNet: Media Restoration using Volterra Networks

Siddharth Roheda, Amit Unde, Loay Rashid

Mudslide: A Universal Nuclear Instance Segmentation Method

Jun Wang

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

Jiahan Li, Jiuyang Dong, Shenjin Huang et al.

Autoencoding Conditional Neural Processes for Representation Learning

Victor Prokhorov, Ivan Titov, Siddharth N

BLO-SAM: Bi-level Optimization Based Finetuning of the Segment Anything Model for Overfitting-Preventing Semantic Segmentation

Li Zhang, Youwei Liang, Ruiyi Zhang et al.

U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation

li zhang, Weiqing Meng, Yan Zhong et al.

Model Adaptation for Time Constrained Embodied Control

Jaehyun Song, Minjong Yoo, Honguk Woo

SRTube: Video-Language Pre-Training with Action-Centric Video Tube Features and Semantic Role Labeling

Juhee Lee, Jewon Kang

SPAD: Spatially Aware Multi-View Diffusers

Yash Kant, Aliaksandr Siarohin, Ziyi Wu et al.

Traceable Federated Continual Learning

Qiang Wang, Bingyan Liu, Yawen Li

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

Chenyang Wang, Zerong Zheng, Tao Yu 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.

Weakly Supervised Point Cloud Semantic Segmentation via Artificial Oracle

Hyeokjun Kweon, Jihun Kim, Kuk-Jin Yoon

SEAS: ShapE-Aligned Supervision for Person Re-Identification

Haidong Zhu, Pranav Budhwant, Zhaoheng Zheng et al.

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

Guangrui Li

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.

Effective Federated Graph Matching

Yang Zhou, Zijie Zhang, Zeru Zhang et al.

Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources

Yi-Xuan Sun, Ya-Lin Zhang, BIN HAN et al.

E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation

Shengxuming Zhang, Lei Jin, Yifan Wang et al.

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

Xiaoqian Lv, Shengping Zhang, Chenyang Wang et al.

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

Yu Mitsuzumi, Akisato Kimura, Hisashi Kashima

Federated Continual Learning via Prompt-based Dual Knowledge Transfer

Hongming Piao, Yichen WU, Dapeng Wu et al.

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

Linqing Zhao, Xiuwei Xu, Ziwei Wang et al.

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

Yuhan Liu, Yongjian Deng, Hao Chen et al.

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

Haokai Zhu, Si-Yuan Cao, Jianxin Hu 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.

Pathformer3D: A 3D Scanpath Transformer for 360° Images

Rong Quan, yantao Lai, Mengyu Qiu et al.

Easing Concept Bleeding in Diffusion via Entity Localization and Anchoring

Jiewei Zhang, Song Guo, Peiran Dong et al.

Visual Prompting via Partial Optimal Transport

MENGYU ZHENG, Zhiwei Hao, Yehui Tang et al.

LiteSAM is Actually what you Need for segment Everything

Jianhai Fu, Yuanjie Yu, Ningchuan Li et al.

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

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

Efficient Training of Spiking Neural Networks with Multi-Parallel Implicit Stream Architecture

Zhigao Cao, Meng Li, Xiashuang Wang et al.

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

Shihao Zhou, Duosheng Chen, Jinshan Pan 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.

Adversarial Text to Continuous Image Generation

Kilichbek Haydarov, Aashiq Muhamed, Xiaoqian Shen et al.

Improving Neural Logic Machines via Failure Reflection

Zhiming Li, Yushi Cao, Yan Zheng et al.

Less is More: on the Over-Globalizing Problem in Graph Transformers

Yujie Xing, Xiao Wang, Yibo Li et al.

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

Biao Gong, Siteng Huang, Yutong Feng et al.

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

Lalit Manam, Venu Madhav Govindu

DIEM: Decomposition-Integration Enhancing Multimodal Insights

Xinyi Jiang, Guoming Wang, Junhao Guo 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.

Energy-Efficient Gaussian Processes Using Low-Precision Arithmetic

Nicolas Alder, Ralf Herbrich

Diff3DETR: Agent-based Diffusion Model for Semi-supervised 3D Object Detection

Jiacheng Deng, Jiahao Lu, Tianzhu Zhang

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

Shihua Zhang, Zizhuo Li, Yuan Gao et al.

Mol-AE: Auto-Encoder Based Molecular Representation Learning With 3D Cloze Test Objective

Junwei Yang, Kangjie Zheng, Siyu Long et al.

Structured Model Probing: Empowering Efficient Transfer Learning by Structured Regularization

Zhi-Fan Wu, Chaojie Mao, Xue Wang et al.

Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving

Brian Yang, Huangyuan Su, Nikolaos Gkanatsios et al.

Domain Gap Embeddings for Generative Dataset Augmentation

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

Complexity Matters: Feature Learning in the Presence of Spurious Correlations

GuanWen Qiu, Da Kuang, Surbhi Goel

IQ-VFI: Implicit Quadratic Motion Estimation for Video Frame Interpolation

Mengshun Hu, Kui Jiang, Zhihang Zhong et al.

Towards Resource-friendly, Extensible and Stable Incomplete Multi-view Clustering

Shengju Yu, Dong Zhibin, Siwei Wang et al.

TCP:Textual-based Class-aware Prompt tuning for Visual-Language Model

Hantao Yao, Rui Zhang, Changsheng Xu

TransLoc4D: Transformer-based 4D Radar Place Recognition

Guohao Peng, Heshan Li, Yangyang Zhao et al.

Scalable Multiple Kernel Clustering: Learning Clustering Structure from Expectation

Weixuan Liang, En Zhu, Shengju Yu et al.

Decouple then Classify: A Dynamic Multi-view Labeling Strategy with Shared and Specific Information

Xinhang Wan, Jiyuan Liu, Xinwang Liu et al.

6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry

Sungho Chun, Ju Yong Chang

Higher-order Relational Reasoning for Pedestrian Trajectory Prediction

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

Absolute Pose from One or Two Scaled and Oriented Features

Jonathan Ventura, Zuzana Kukelova, Torsten Sattler et al.

Draw Step by Step: Reconstructing CAD Construction Sequences from Point Clouds via Multimodal Diffusion.

Weijian Ma, Shuaiqi Chen, Yunzhong Lou et al.

Open-Vocabulary 3D Semantic Segmentation with Foundation Models

Li Jiang, Shaoshuai Shi, Bernt Schiele

Training Vision Transformers for Semi-Supervised Semantic Segmentation

Xinting Hu, Li Jiang, Bernt Schiele

ESCAPE: Encoding Super-keypoints for Category-Agnostic Pose Estimation

Khoi D Nguyen, Chen Li, Gim Hee Lee

Dual-Consistency Model Inversion for Non-Exemplar Class Incremental Learning

Zihuan Qiu, Yi Xu, Fanman Meng et al.

S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition

Mohamed Abdelfattah, Alexandre ALahi

NC-TTT: A Noise Constrastive Approach for Test-Time Training

David OSOWIECHI, Gustavo Vargas Hakim, Mehrdad Noori et al.

FedLMT: Tackling System Heterogeneity of Federated Learning via Low-Rank Model Training with Theoretical Guarantees

Jiahao Liu, Yipeng Zhou, Di Wu et al.

Class Tokens Infusion for Weakly Supervised Semantic Segmentation

Sung-Hoon Yoon, Hoyong Kwon, Hyeonseong Kim et al.

Improving Training Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architecture

Huijie Zhang, Yifu Lu, Ismail Alkhouri et al.

Endow SAM with Keen Eyes: Temporal-spatial Prompt Learning for Video Camouflaged Object Detection

Wenjun Hui, Zhenfeng Zhu, Shuai Zheng et al.

Attack-free Evaluating and Enhancing Adversarial Robustness on Categorical Data

Yujun Zhou, Yufei Han, Haomin Zhuang et al.

Bridging Environments and Language with Rendering Functions and Vision-Language Models

Théo Cachet, Christopher Dance, Olivier Sigaud

NICE: Neurogenesis Inspired Contextual Encoding for Replay-free Class Incremental Learning

Mustafa B Gurbuz, Jean Moorman, Constantine Dovrolis

DeconfuseTrack: Dealing with Confusion for Multi-Object Tracking

Cheng Huang, Shoudong Han, Mengyu He et al.

Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach

Aveen Dayal, Rishabh Lalla, Linga Reddy Cenkeramaddi et al.

Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention

Aaron Havens, Alexandre Araujo, Huan Zhang et al.

JoAPR: Cleaning the Lens of Prompt Learning for Vision-Language Models

YUNCHENG GUO, Xiaodong Gu

GPLD3D: Latent Diffusion of 3D Shape Generative Models by Enforcing Geometric and Physical Priors

Yuan Dong, Qi Zuo, Xiaodong Gu et al.

Weakly-Supervised Audio-Visual Video Parsing with Prototype-based Pseudo-Labeling

Kranthi Kumar Rachavarapu, Kalyan Ramakrishnan, A. N. Rajagopalan

Enhancing Optimization Robustness in 1-bit Neural Networks through Stochastic Sign Descent

NianHui Guo, Hong Guo, Christoph Meinel et al.

Pixel-level Semantic Correspondence through Layout-aware Representation Learning and Multi-scale Matching Integration

Yixuan Sun, Zhangyue Yin, Haibo Wang et al.

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

Shan Wang, Chuong Nguyen, Jiawei Liu et al.

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.

Teeth-SEG: An Efficient Instance Segmentation Framework for Orthodontic Treatment based on Multi-Scale Aggregation and Anthropic Prior Knowledge

Bo Zou, Shaofeng Wang, Hao Liu et al.

Countering Personalized Text-to-Image Generation with Influence Watermarks

Hanwen Liu, Zhicheng Sun, Yadong Mu

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

yan haitao, Qiongjie Cui, Jiexin Xie et al.

Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs

Luca Arnaboldi, Yatin Dandi, FLORENT KRZAKALA et al.

Learning Degradation-unaware Representation with Prior-based Latent Transformations for Blind Face Restoration

Lianxin Xie, csbingbing zheng, Wen Xue et al.

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

Wonseok Roh, Hwanhee Jung, Giljoo Nam et al.

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

Nicolas Dufour, Victor Besnier, Vicky Kalogeiton et al.