Most Cited 2024 Poster Papers

Towards Fairness in Online Service with K Servers and Its Applications in Fair Food Delivery

Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty

Generating Images of Rare Concepts Using Pre-trained Diffusion Models

Dvir Samuel, Rami Ben-Ari, Simon Raviv et al.

Assessment via Transformer Text Prompting

GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation

Abhinav Jain, Vaibhav Unhelkar

Neural Embeddings for kNN Search in Biological Sequence

Zhihao Chang, Linzhu Yu, Yanchao Xu et al.

Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events

Wen Yang, Jinjian Wu, Jupo Ma et al.

Visual Instruction Tuning with Polite Flamingo

Delong Chen, Jianfeng Liu, Wenliang Dai et al.

DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation

Zichen Liu, Hongbo Sun, Yuxin Peng et al.

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization

Kai Wang, Haoyu Liu, Zhipeng Hu et al.

Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding

Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation

A Unified Environmental Network for Pedestrian Trajectory Prediction

Guoqing Chao, Yi Jiang, Dianhui Chu

Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations

Changqing Qiu, Fusheng Jin, Yining Zhang

Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning

Junseok Park, Yoonsung Kim, Hee bin Yoo et al.

Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning

Xiao Du, Yutong Ye, Pengyu Zhang et al.

6402 NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning

Linsheng Chen, Guangrun Wang, Liuchun Yuan et al.

2243 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection

Junwei He, Qianqian Xu, Yangbangyan Jiang et al.

12181 What Do Hebbian Learners Learn? Reduction Axioms for Unstable Hebbian Learning

Caleb Schultz Kisby, Saúl Blanco, Larry Moss

1066 Benchmarking Large Language Models on Controllable Generation under Diversified Instructions

Yihan Chen, Benfeng Xu, Quan Wang et al.

FLAME: A Small Language Model for Spreadsheet Formulas

Harshit Joshi, José Cambronero Sanchez, Abishai Ebenezer et al.

Curvature-Invariant Adversarial Attacks for 3D Point Clouds

Jianping Zhang, Wenwei Gu, Yizhan Huang et al.

Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths

Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.

VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook

Wenbin Zou, Hongxia Gao, Tian Ye et al.

A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning

Yongjian Deng, Hao Chen, Youfu Li

LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions

Atharva Pandey, Vishal Yadav, Rajendra Nagar et al.

Debiased Novel Category Discovering and Localization

Juexiao Feng, Yuhong Yang, Yanchun Xie et al.

Wasserstein Differential Privacy

Chengyi Yang, Jiayin Qi, Aimin Zhou

AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision

A Unified Knowledge Transfer Network for Generalized Category Discovery

Wenkai Shi, Wenbin An, Feng Tian et al.

LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities

Jiahui Qu, Yuanbo Yang, Wenqian Dong et al.

Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?

Shu Li, Ruimin Hu, Suhui Li et al.

Adaptive Hardness Negative Sampling for Collaborative Filtering

Riwei Lai, Rui Chen, Qilong Han et al.

Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks

Chenyang Qiu, Guoshun Nan, Tianyu Xiong et al.

GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles

Chen Li, Yoshihiro Yamanishi

Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation

Huayu Mai, Rui Sun, Yuan Wang et al.

Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making

Zhuoyan Li, Zhuoran Lu, Ming Yin

Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem

Qingyun Zhang, YuMing Du, Zhipeng Lü et al.

Data Poisoning to Fake a Nash Equilibria for Markov Games

Young Wu, Jeremy McMahan, Xiaojin Zhu et al.

Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data

Na Zhao, Gim Hee Lee

Decouple Content and Motion for Conditional Image-to-Video Generation

Cuifeng Shen, Yulu Gan, Chen Chen et al.

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

Yue Duan, Zhen Zhao, Lei Qi et al.

Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation

Zhaofan Zhang, Yanan Xiao, Lu Jiang et al.

Learning Dense Correspondence for NeRF-Based Face Reenactment

Songlin Yang, Wei Wang, Yushi Lan et al.

Selective Focus: Investigating Semantics Sensitivity in Post-training Quantization for Lane Detection

Yunqian Fan, Xiuying Wei, Ruihao Gong et al.

TR-DETR: Task-Reciprocal Transformer for Joint Moment Retrieval and Highlight Detection

Hao Sun, Mingyao Zhou, Wenjing Chen et al.

Efficient Target Propagation by Deriving Analytical Solution

Yanhao Bao, Tatsukichi Shibuya, Ikuro Sato et al.

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

Tianshuo Peng, Zuchao Li, Ping Wang et al.

Conditional Variational Autoencoder for Sign Language Translation with Cross-Modal Alignment

Rui Zhao, Liang Zhang, Biao Fu et al.

A Separation and Alignment Framework for Black-Box Domain Adaptation

Mingxuan Xia, Junbo Zhao, Gengyu Lyu et al.

Double-Bounded Optimal Transport for Advanced Clustering and Classification

Liangliang Shi, Zhaoqi Shen, Junchi Yan

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

Yuma Fujimoto, Kaito Ariu, Kenshi Abe

KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking

Liu Liu, Anran Huang, Qi Wu et al.

AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs

Shengrui Li, Xueting Han, Jing Bai

MID-FiLD: MIDI Dataset for Fine-Level Dynamics

Jesung Ryu, Seungyeon Rhyu, Hong-Gyu Yoon et al.

A Positive-Unlabeled Metric Learning Framework for Document-Level Relation Extraction with Incomplete Labeling

Ye Wang, Huazheng Pan, Tao Zhang et al.

Mitigating Label Bias in Machine Learning: Fairness through Confident Learning

Yixuan Zhang, Boyu Li, Zenan Ling et al.

CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems

Kerian Thuillier, Anne Siegel, Loïc Paulevé

Maximizing the Success Probability of Policy Allocations in Online Systems

Artem Betlei, Mariia Vladimirova, Mehdi Sebbar et al.

Learning Not to Regret

David Sychrovský, Michal Sustr, Elnaz Davoodi et al.

DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding

Xiaoxuan Yu, Hao Wang, Weiming Li et al.

Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation

Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires et al.

Learning Small Decision Trees for Data of Low Rank-Width

Konrad K. Dabrowski, Eduard Eiben, Sebastian Ordyniak et al.

Language-Guided Transformer for Federated Multi-Label Classification

I-Jieh Liu, Ci-Siang Lin, Fu-En Yang et al.

NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Resolution

Yexing Song, Meilin Wang, Zhijing Yang et al.

Submodel Enumeration for CTL Is Hard

Nicolas Fröhlich, Arne Meier

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction

Di Wu, Wu Sun, Yi He et al.

A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs

Sikun Yang, Hongyuan Zha

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching

Hongbo Zhang, Guang Wang, Xu Wang et al.

Segment beyond View: Handling Partially Missing Modality for Audio-Visual Semantic Segmentation

Renjie Wu, Hu Wang, Feras Dayoub et al.

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

Motoki Omura, Takayuki Osa, Yusuke Mukuta et al.

Enhancing Training of Spiking Neural Network with Stochastic Latency

Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic et al.

Bilateral Gradual Semantics for Weighted Argumentation

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Domain Learning

Chuangchuang Tan, Yao Zhao, Shikui Wei et al.

PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition

Jin Huang, Danfeng Yan, Yuanqiang Cai

Composite Active Learning: Towards Multi-Domain Active Learning with Theoretical Guarantees

Guang-Yuan Hao, Hengguan Huang, Haotian Wang et al.

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow

Tianchun Li, Chengxiang Wu, Pengyi Shi et al.

Factorized Explainer for Graph Neural Networks

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark

Sen Pei, Shixiong Xu, Xiaojie Jin

SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution

Xiaotong Luo, Yuan Xie, Yanyun Qu et al.

Harnessing Manycore Processors with Distributed Memory for Accelerated Training of Sparse and Recurrent Models

Jan Finkbeiner, Thomas Gmeinder, Mark Pupilli et al.

ShareBERT: Embeddings Are Capable of Learning Hidden Layers

Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli et al.

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation

Junyang Chen, Guoxuan Zou, Pan Zhou et al.

Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation

Qi Bi, Shaodi You, Theo Gevers

CRA-PCN: Point Cloud Completion with Intra- and Inter-level Cross-Resolution Transformers

Yi Rong, Haoran Zhou, Lixin Yuan et al.

Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network

Zhaoyang Wang, Dongyang Li, Mingyang Zhang et al.

Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding

Wenjia Geng, Yong Liu, Lei Chen et al.

Foundations of Reactive Synthesis for Declarative Process Specifications

Andrey Rivkin, Luca Geatti, Marco Montali

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification

Yu Zhu, Kang Li, Lequan Yu et al.

Improving Distinguishability of Class for Graph Neural Networks

Dongxiao He, Shuwei Liu, Zhizhi Yu et al.

Adversarially Balanced Representation for Continuous Treatment Effect Estimation

Amirreza Kazemi, Martin Ester

‘Why Didn’t You Allocate This Task to Them?’ Negotiation-Aware Task Allocation and Contrastive Explanation Generation

Zahra Zahedi, Sailik Sengupta, Subbarao Kambhampati

A Bregman Proximal Stochastic Gradient Method with Extrapolation for Nonconvex Nonsmooth Problems

Qingsong Wang, Zehui Liu, Chunfeng Cui et al.

Manifold Constraints for Imperceptible Adversarial Attacks on Point Clouds

SpFormer: Spatio-Temporal Modeling for Scanpaths with Transformer

Zhijie Nie, Richong Zhang, Zhongyuan Wang et al.

Unit Selection with Nonbinary Treatment and Effect

Ang Li, Judea Pearl

An Exercise in Tournament Design: When Some Matches Must Be Scheduled

Sushmita Gupta, Ramanujan Sridharan, Peter Strulo

Multi-Source Collaborative Gradient Discrepancy Minimization for Federated Domain Generalization

Yikang Wei, Yahong Han

msLPCC: A Multimodal-Driven Scalable Framework for Deep LiDAR Point Cloud Compression

Miaohui Wang, Runnan Huang, Hengjin Dong et al.

Box2Poly: Memory

Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text - Xuyang Chen, Dong Wang, Konrad Schindler et al.

Direct May Not Be the Best: An Incremental Evolution View of Pose Generation

Yuelong Li, Tengfei Xiao, Lei Geng et al.

Learning Only When It Matters: Cost

Aware Long-Tailed Classification - Yu-Cheng He, Yao-Xiang Ding, Han-Jia Ye et al.

Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems

Zhiguang Yang, Liufang Sang, Haoran Wang et al.

Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms

Tianhao Lu, Chao Bian, Chao Qian

Redefining ABA+ Semantics via Abstract Set-to-Set Attacks

Personalized LoRA for Human-Centered Text Understanding

You Zhang, Jin Wang, Liang-Chih Yu et al.

SGNet: Structure Guided Network via Gradient-Frequency Awareness for Depth Map Super-resolution

Zhengxue Wang, Zhiqiang Yan, Jian Yang

Towards Effective and General Graph Unlearning via Mutual Evolution

Xunkai Li, Yulin Zhao, Zhengyu Wu et al.

Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal

Yicheng Leng, Chaowei Fang, Gen Li et al.

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations

Nisal Ranasinghe, Damith Senanayake, Sachith Seneviratne et al.

How to Evaluate Behavioral Models

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

Recasting Regional Lighting for Shadow Removal

Yuhao Liu, Zhanghan Ke, Ke Xu et al.

A Dual Stealthy Backdoor: From Both Spatial and Frequency Perspectives

Yudong Gao, Honglong Chen, Peng Sun et al.

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

Jincen Jiang, Lizhi Zhao, Xuequan Lu et al.

Generative Calibration of Inaccurate Annotation for Label Distribution Learning

Liang He, Yunan Lu, Weiwei Li et al.

Disguise without Disruption: Utility-Preserving Face De-identification

Zikui Cai, Zhongpai Gao, Benjamin Planche et al.

Deep Homography Estimation for Visual Place Recognition

Feng Lu, Shuting Dong, Lijun Zhang et al.

Stop! Planner Time: Metareasoning for Probabilistic Planning Using Learned Performance Profiles

Matthew Budd, Bruno Lacerda, Nick Hawes

No Internal Regret with Non-convex Loss Functions

DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning

Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya et al.

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

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

Yuting Wang, Jinpeng Wang, Bin Chen et al.

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

Jialu Zhang, Xiaoying Yang, Wentao He 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.

DeRDaVa: Deletion-Robust Data Valuation for Machine Learning

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

Efficient Constrained K-center Clustering with Background Knowledge

Longkun Guo, Chaoqi Jia, Kewen Liao et al.

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

Qingsong Liu, Zhixuan Fang

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.

CcDPM: A Continuous Conditional Diffusion Probabilistic Model for Inverse Design

Yanxuan Zhao, Peng Zhang, Guopeng Sun et al.

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

Guojun Xiong, Gang Yan, Shiqiang Wang 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

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

Alexey Skrynnik, Anton Andreychuk, Maria Nesterova et al.

Eliciting Honest Information from Authors Using Sequential Review

Yichi Zhang, Grant Schoenebeck, Weijie Su

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

Maitreya Patel, Tejas Gokhale, Chitta Baral et al.

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

Factored Online Planning in Many-Agent POMDPs

Maris Galesloot, Thiago Simão, Sebastian Junges et al.

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

Aydar Bulatov, Yuri Kuratov, Yermek Kapushev et al.

DRF: Improving Certified Robustness via Distributional Robustness Framework

Zekai Wang, Zhengyu Zhou, Weiwei Liu

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

Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye et al.

Dirichlet-Based Prediction Calibration for Learning with Noisy Labels

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

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

Yujin Jeon, Eunsue Choi, Youngchan Kim et al.

Diffusion Models Without Attention

Jing Nathan Yan, Jiatao Gu, Alexander Rush

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

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

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

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.

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.

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

Chenyang Wang, Zerong Zheng, Tao Yu 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.

Do Vision and Language Encoders Represent the World Similarly?

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

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

Guangrui Li

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

Chen Zhao, Weiling Cai, Chenyu Dong et al.

Map-Relative Pose Regression for Visual Re-Localization

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

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

Willi Menapace, Aliaksandr Siarohin, Ivan Skorokhodov et al.

InstructDiffusion: A Generalist Modeling Interface for Vision Tasks

Zigang Geng, Binxin Yang, Tiankai Hang et al.

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

Yuan Xiao, Shiqing Ma, Juan Zhai et al.

Overcoming Generic Knowledge Loss with Selective Parameter Update

Wenxuan Zhang, Paul Janson, Rahaf Aljundi et al.

Lane2Seq: Towards Unified Lane Detection via Sequence Generation

Kunyang Zhou

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.

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.

Geometry Transfer for Stylizing Radiance Fields

Hyunyoung Jung, Seonghyeon Nam, Nikolaos Sarafianos et al.

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

Keonhee Han, Dominik Muhle, Felix Wimbauer et al.

CrossKD: Cross-Head Knowledge Distillation for Object Detection

JiaBao Wang, yuming chen, Zhaohui Zheng 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

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

Dipam Goswami, Albin Soutif, Yuyang Liu et al.

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

Juze Zhang, Jingyan Zhang, Zining Song 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.

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.

DSGG: Dense Relation Transformer for an End-to-end Scene Graph Generation

Zeeshan Hayder, Xuming He

Design2Cloth: 3D Cloth Generation from 2D Masks

Jiali Zheng, Rolandos Alexandros Potamias, Stefanos Zafeiriou

S-DyRF: Reference-Based Stylized Radiance Fields for Dynamic Scenes

Xingyi Li, Zhiguo Cao, Yizheng Wu et al.

SatSynth: Augmenting Image-Mask Pairs through Diffusion Models for Aerial Semantic Segmentation

Aysim Toker, Marvin Eisenberger, Daniel Cremers et al.

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

Zihuan Qiu, Yi Xu, Fanman Meng et al.

DS-NeRV: Implicit Neural Video Representation with Decomposed Static and Dynamic Codes

Hao Yan, Zhihui Ke, Xiaobo Zhou et al.

Rolling Shutter Correction with Intermediate Distortion Flow Estimation

Mingdeng Cao, Sidi Yang, Yujiu Yang et al.

Towards Transferable Targeted 3D Adversarial Attack in the Physical World

Yao Huang, Yinpeng Dong, Shouwei Ruan et al.

Hybrid Functional Maps for Crease-Aware Non-Isometric Shape Matching

Lennart Bastian, Yizheng Xie, Nassir Navab et al.

AnyDoor: Zero-shot Object-level Image Customization

Xi Chen, Lianghua Huang, Yu Liu 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.

Learnable Earth Parser: Discovering 3D Prototypes in Aerial Scans

Romain Loiseau, Elliot Vincent, Mathieu Aubry et al.

PIGEON: Predicting Image Geolocations

Lukas Haas, Michal Skreta, Silas Alberti et al.

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

Yuan Dong, Qi Zuo, Xiaodong Gu et al.

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

Wujian Peng, Sicheng Xie, Zuyao You et al.