Most Cited 2024 "human motion retrieval" Papers

NOVUM: Neural Object Volumes for Robust Object Classification

Artur Jesslen, Guofeng Zhang, Angtian Wang et al.

Translation Equivariant Transformer Neural Processes

Matthew Ashman, Cristiana Diaconu, Junhyuck Kim et al.

ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages

Andrew Jesson, Christopher Lu, Gunshi Gupta et al.

Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network

Yong Shu, Liquan Shen, Xiangyu Hu et al.

Dirichlet-based Per-Sample Weighting by Transition Matrix for Noisy Label Learning

HeeSun Bae, Seungjae Shin, Byeonghu Na et al.

On the Faithfulness of Vision Transformer Explanations

Junyi Wu, Weitai Kang, Hao Tang et al.

Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks

Khurram Javed, Haseeb Shah, Richard Sutton et al.

Beyond Worst-case Attacks: Robust RL with Adaptive Defense via Non-dominated Policies

Xiangyu Liu, Chenghao Deng, Yanchao Sun et al.

Multilinear Operator Networks

Yixin Cheng, Grigorios Chrysos, Markos Georgopoulos et al.

A Provably Effective Method for Pruning Experts in Fine-tuned Sparse Mixture-of-Experts

Mohammed Nowaz Rabbani Chowdhury, Meng Wang, Kaoutar El Maghraoui et al.

Enhancing Recipe Retrieval with Foundation Models: A Data Augmentation Perspective

Fangzhou Song, Bin Zhu, Yanbin Hao et al.

FACL-Attack: Frequency-Aware Contrastive Learning for Transferable Adversarial Attacks

Hunmin Yang, Jongoh Jeong, Kuk-Jin Yoon

Unsigned Orthogonal Distance Fields: An Accurate Neural Implicit Representation for Diverse 3D Shapes

YuJie Lu, Long Wan, Nayu Ding et al.

Understanding Inter-Concept Relationships in Concept-Based Models

Naveen Raman, Mateo Espinosa Zarlenga, Mateja Jamnik

DenoSent: A Denoising Objective for Self-Supervised Sentence Representation Learning

Xinghao Wang, Junliang He, Pengyu Wang et al.

Stereographic Spherical Sliced Wasserstein Distances

Huy Tran, Yikun Bai, Abihith Kothapalli et al.

Hybrid$^2$ Neural ODE Causal Modeling and an Application to Glycemic Response

Junyi Zou, Matthew Levine, Dessi Zaharieva et al.

DoubleTake: Geometry Guided Depth Estimation

Mohamed Sayed, Filippo Aleotti, Jamie Watson et al.

Text-guided Explorable Image Super-resolution

Kanchana Vaishnavi Gandikota, Paramanand Chandramouli

A2Q+: Improving Accumulator-Aware Weight Quantization

Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig et al.

Reverse Multi-Choice Dialogue Commonsense Inference with Graph-of-Thought

Li Zheng, Hao Fei, Fei Li et al.

Enhancing Perceptual Quality in Video Super-Resolution through Temporally-Consistent Detail Synthesis using Diffusion Models

Claudio Rota, Marco Buzzelli, Joost Van de Weijer

Graph-Based Prediction and Planning Policy Network (GP3Net) for Scalable Self-Driving in Dynamic Environments Using Deep Reinforcement Learning

Jayabrata Chowdhury, Venkataramanan Shivaraman, Suresh Sundaram et al.

AAMDM: Accelerated Auto-regressive Motion Diffusion Model

Tianyu Li, Calvin Zhuhan Qiao, Ren Guanqiao et al.

Seeing Unseen: Discover Novel Biomedical Concepts via Geometry-Constrained Probabilistic Modeling

Jianan Fan, Dongnan Liu, Hang Chang et al.

Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption

Chenlu Ye, Jiafan He, Quanquan Gu et al.

Generalizing 6-DoF Grasp Detection via Domain Prior Knowledge

Haoxiang Ma, Modi Shi, Boyang GAO et al.

Uncertainty Estimation by Density Aware Evidential Deep Learning

Taeseong Yoon, Heeyoung Kim

BEAF: Observing BEfore-AFter Changes to Evaluate Hallucination in Vision-language Models

Ye-Bin Moon, Nam Hyeon-Woo, Wonseok Choi et al.

Once for Both: Single Stage of Importance and Sparsity Search for Vision Transformer Compression

Hancheng Ye, Chong Yu, Peng Ye et al.

Topic Modeling as Multi-Objective Contrastive Optimization

Thong Thanh Nguyen, Xiaobao Wu, Xinshuai Dong et al.

Neural Point Cloud Diffusion for Disentangled 3D Shape and Appearance Generation

Philipp Schröppel, Christopher Wewer, Jan Lenssen et al.

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling

Hyunjun Ju, SeongKu Kang, Dongha Lee et al.

Completing Priceable Committees: Utilitarian and Representation Guarantees for Proportional Multiwinner Voting

Markus Brill, Jannik Peters

Fair Off-Policy Learning from Observational Data

Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

Global Reinforcement Learning : Beyond Linear and Convex Rewards via Submodular Semi-gradient Methods

Riccardo De Santi, Manish Prajapat, Andreas Krause

Patched Line Segment Learning for Vector Road Mapping

Jiakun Xu, Bowen Xu, Gui-Song Xia et al.

EventRPG: Event Data Augmentation with Relevance Propagation Guidance

Mingyuan Sun, Donghao Zhang, Zongyuan Ge et al.

Propose, Assess, Search: Harnessing LLMs for Goal-Oriented Planning in Instructional Videos

Mohaiminul Islam, Tushar Nagarajan, Huiyu Wang et al.

Mind The Edge: Refining Depth Edges in Sparsely-Supervised Monocular Depth Estimation

Lior Talker, Aviad Cohen, Erez Yosef et al.

Strike a Balance in Continual Panoptic Segmentation

Jinpeng Chen, Runmin Cong, Yuxuan Luo et al.

Domain Shifting: A Generalized Solution for Heterogeneous Cross-Modality Person Re-Identification

Yan Jiang, Xu Cheng, Hao Yu et al.

Omnipotent Distillation with LLMs for Weakly-Supervised Natural Language Video Localization:

Peijun Bao, Zihao Shao, Wenhan Yang et al.

Exploring the Low-Pass Filtering Behavior in Image Super-Resolution

Haoyu Deng, Zijing Xu, Yule Duan et al.

Fully Convolutional Slice-to-Volume Reconstruction for Single-Stack MRI

Sean I. Young, Yaël Balbastre, Bruce Fischl et al.

Curved Representation Space of Vision Transformers

Juyeop Kim, Junha Park, Songkuk Kim et al.

Grab What You Need: Rethinking Complex Table Structure Recognition with Flexible Components Deliberation

Hao Liu, Xin Li, Mingming Gong et al.

Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates

Zhenqiao Song, Yunlong Zhao, Wenxian Shi et al.

Colour Passing Revisited: Lifted Model Construction with Commutative Factors

Malte Luttermann, Tanya Braun, Ralf Möller et al.

Latent Logic Tree Extraction for Event Sequence Explanation from LLMs

Zitao Song, Chao Yang, Chaojie Wang et al.

Symmetric Self-Paced Learning for Domain Generalization

Di Zhao, Yun Sing Koh, Gillian Dobbie et al.

Enhancing Low-Resource Relation Representations through Multi-View Decoupling

LaneGraph2Seq: Lane Topology Extraction with Language Model via Vertex-Edge Encoding and Connectivity Enhancement

Renyuan Peng, Xinyue Cai, Hang Xu et al.

VQ-HPS: Human Pose and Shape Estimation in a Vector-Quantized Latent Space

Guénolé Fiche, Simon Leglaive, Xavier Alameda-Pineda et al.

Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap

Junhao Dong, Piotr Koniusz, Junxi Chen et al.

Robust NAS under adversarial training: benchmark, theory, and beyond

Yongtao Wu, Fanghui Liu, Carl-Johann Simon-Gabriel et al.

Improving Adversarial Transferability via Model Alignment

Avery Ma, Amir-massoud Farahmand, Yangchen Pan et al.

LDReg: Local Dimensionality Regularized Self-Supervised Learning

Hanxun Huang, Ricardo Campello, Sarah Erfani et al.

Understanding prompt engineering may not require rethinking generalization

Victor Akinwande, Yiding Jiang, Dylan Sam et al.

Feature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective

Soo Yong Lee, Sunwoo Kim, Fanchen Bu et al.

OrthCaps: An Orthogonal CapsNet with Sparse Attention Routing and Pruning

Geng Xinyu, Jiaming Wang, Jiawei Gong et al.

Learning to Compose: Improving Object Centric Learning by Injecting Compositionality

Whie Jung, Jaehoon Yoo, Sungjin Ahn et al.

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

Changqing Qiu, Fusheng Jin, Yining Zhang

Skews in the Phenomenon Space Hinder Generalization in Text-to-Image Generation

Yingshan Chang, Yasi Zhang, Zhiyuan Fang et al.

Domain Generalization with Vital Phase Augmentation

Ingyun Lee, WooJu Lee, Hyun Myung

Length-Aware Motion Synthesis via Latent Diffusion

Alessio Sampieri, Alessio Palma, Indro Spinelli et al.

Self-Composing Policies for Scalable Continual Reinforcement Learning

Mikel Malagón, Josu Ceberio, Jose A Lozano

Free Lunch for Gait Recognition: A Novel Relation Descriptor

Jilong Wang, Saihui Hou, Yan Huang et al.

Joint Learning Neuronal Skeleton and Brain Circuit Topology with Permutation Invariant Encoders for Neuron Classification

Minghui Liao, Guojia Wan, Bo Du

Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula

Aryaman Reddi, Maximilian Tölle, Jan Peters et al.

Characteristics Matching Based Hash Codes Generation for Efficient Fine-grained Image Retrieval

Zhen-Duo Chen, Li-Jun Zhao, Zi-Chao Zhang et al.

Principled Federated Domain Adaptation: Gradient Projection and Auto-Weighting

Enyi Jiang, Yibo Jacky Zhang, Sanmi Koyejo

CloudFixer: Test-Time Adaptation for 3D Point Clouds via Diffusion-Guided Geometric Transformation

Hajin Shim, Changhun Kim, Eunho Yang

SaCo Loss: Sample-wise Affinity Consistency for Vision-Language Pre-training

WU Sitong, Haoru Tan, Zhuotao Tian et al.

Semantic Lens: Instance-Centric Semantic Alignment for Video Super-resolution

Safe-CLIP: Removing NSFW Concepts from Vision-and-Language Models

Samuele Poppi, Tobia Poppi, Federico Cocchi et al.

Retrieval-based Disentangled Representation Learning with Natural Language Supervision

Jiawei Zhou, Xiaoguang Li, Lifeng Shang et al.

KDProR: A Knowledge-Decoupling Probabilistic Framework for Video-Text Retrieval

Xianwei Zhuang, Hongxiang Li, Xuxin Cheng et al.

Adversarial Purification with the Manifold Hypothesis

Zhaoyuan Yang, Zhiwei Xu, Jing Zhang et al.

Towards Accurate and Robust Architectures via Neural Architecture Search

Yuwei Ou, Yuqi Feng, Yanan Sun

DeCoTR: Enhancing Depth Completion with 2D and 3D Attentions

Yunxiao Shi, Manish Singh, Hong Cai et al.

Implicit Filtering for Learning Neural Signed Distance Functions from 3D Point Clouds

Shengtao Li, Ge Gao, Yudong Liu et al.

HiHPQ: Hierarchical Hyperbolic Product Quantization for Unsupervised Image Retrieval

Zexuan Qiu, Jiahong Liu, Yankai Chen et al.

Design2Cloth: 3D Cloth Generation from 2D Masks

Jiali Zheng, Rolandos Alexandros Potamias, Stefanos Zafeiriou

BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation

Jiahao Lu, Jiacheng Deng, Tianzhu Zhang

PG-LBO: Enhancing High-Dimensional Bayesian Optimization with Pseudo-Label and Gaussian Process Guidance

Taicai Chen, Yue Duan, Dong Li et al.

MT-Ranker: Reference-free machine translation evaluation by inter-system ranking

Ibraheem Muhammad Moosa, Rui Zhang, Wenpeng Yin

Event-Aided Time-To-Collision Estimation for Autonomous Driving

Jinghang Li, Bangyan Liao, Xiuyuan LU et al.

Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement Learning

Fanyue Wei, Wei Zeng, Zhenyang Li et al.

Surf-D: Generating High-Quality Surfaces of Arbitrary Topologies Using Diffusion Models

Zhengming Yu, Zhiyang Dou, Xiaoxiao Long et al.

Volumetric Rendering with Baked Quadrature Fields

Gopal Sharma, Daniel Rebain, Kwang Moo Yi et al.

Learning Degradation-Independent Representations for Camera ISP Pipelines

Yanhui Guo, Fangzhou Luo, Xiaolin Wu

T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning

Weijie Wei, Fatemeh Karimi Nejadasl, Theo Gevers et al.

Grounding and Enhancing Grid-based Models for Neural Fields

Zelin Zhao, FENGLEI FAN, Wenlong Liao et al.

Learning from One Continuous Video Stream

Joao Carreira, Michael King, Viorica Patraucean et al.

Towards General Neural Surrogate Solvers with Specialized Neural Accelerators

Chenkai Mao, Robert Lupoiu, Tianxiang Dai et al.

COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits

Mintong Kang, Nezihe Merve Gürel, Linyi Li et al.

ABC Easy as 123: A Blind Counter for Exemplar-Free Multi-Class Class-agnostic Counting

Michael A Hobley, Victor Adrian Prisacariu

ByteEdit: Boost, Comply and Accelerate Generative Image Editing

YUXI REN, Jie Wu, Yanzuo Lu et al.

Shape2Scene: 3D Scene Representation Learning Through Pre-training on Shape Data

Tuo FENG, Wenguan Wang, Ruijie Quan et al.

Reducing sequential change detection to sequential estimation

Shubhanshu Shekhar, Aaditya Ramdas

On the Role of Discrete Tokenization in Visual Representation Learning

Tianqi Du, Yifei Wang, Yisen Wang

PTMQ: Post-training Multi-Bit Quantization of Neural Networks

Ke Xu, Zhongcheng Li, Shanshan Wang et al.

Jacobian Regularizer-based Neural Granger Causality

Wanqi Zhou, Shuanghao Bai, Shujian Yu et al.

Towards Understanding Inductive Bias in Transformers: A View From Infinity

Itay Lavie, Guy Gur-Ari, Zohar Ringel

Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often!

Milad Sefidgaran, Romain Chor, Abdellatif Zaidi et al.

Siamese Vision Transformers are Scalable Audio-visual Learners

Yan-Bo Lin, Gedas Bertasius

SynFog: A Photo-realistic Synthetic Fog Dataset based on End-to-end Imaging Simulation for Advancing Real-World Defogging in Autonomous Driving

Yiming Xie, Henglu Wei, Zhenyi Liu et al.

AdaDistill: Adaptive Knowledge Distillation for Deep Face Recognition

Fadi Boutros, Vitomir Struc, Naser Damer

Maximizing Nash Social Welfare under Two-Sided Preferences

Pallavi Jain, Rohit Vaish

Open-Set Recognition in the Age of Vision-Language Models

Dimity Miller, Niko Suenderhauf, Alex Kenna et al.

Leveraging Self-Consistency for Data-Efficient Amortized Bayesian Inference

Marvin Schmitt, Desi Ivanova, Daniel Habermann et al.

Exploring the Feature Extraction and Relation Modeling For Light-Weight Transformer Tracking

Jikai Zheng, Mingjiang Liang, Shaoli Huang et al.

Cumulative Regret Analysis of the Piyavskii–Shubert Algorithm and Its Variants for Global Optimization

Kaan Gokcesu, Hakan Gökcesu

Mean Estimation in the Add-Remove Model of Differential Privacy

Alex Kulesza, Ananda Suresh, Yuyan Wang

Generalized Bradley-Terry Models for Score Estimation from Paired Comparisons

Julien Fageot, Lê-Nguyên Hoang, Oscar Villemaud et al.

Towards More Faithful Natural Language Explanation Using Multi-Level Contrastive Learning in VQA

Chengen Lai, Shengli Song, Shiqi Meng et al.

On the Tractability of SHAP Explanations under Markovian Distributions

Reda Marzouk, De la Higuera

BEM: Balanced and Entropy-based Mix for Long-Tailed Semi-Supervised Learning

Hongwei Zheng, Linyuan Zhou, Han Li et al.

Nonparametric Teaching of Implicit Neural Representations

Chen Zhang, Steven T. S. Luo, Jason Chun Lok Li et al.

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators

Renbo Tu, Colin White, Jean Kossaifi et al.

Anchor-based Robust Finetuning of Vision-Language Models

Jinwei Han, Zhiwen Lin, Zhongyisun Sun et al.

Fair Risk Control: A Generalized Framework for Calibrating Multi-group Fairness Risks

Lujing Zhang, Aaron Roth, Linjun Zhang

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence

Mengyao Lyu, Tianxiang Hao, Xinhao Xu et al.

Distilling ODE Solvers of Diffusion Models into Smaller Steps

Sanghwan Kim, Hao Tang, Fisher Yu

Idempotent Unsupervised Representation Learning for Skeleton-Based Action Recognition

Lilang Lin, Lehong Wu, Jiahang Zhang et al.

Neural structure learning with stochastic differential equations

Benjie Wang, Joel Jennings, Wenbo Gong

Improving Physics-Augmented Continuum Neural Radiance Field-Based Geometry-Agnostic System Identification with Lagrangian Particle Optimization

Takuhiro Kaneko

Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera

Chengxu Liu, Xuan Wang, Yuanting Fan et al.

PISR: Polarimetric Neural Implicit Surface Reconstruction for Textureless and Specular Objects

Guangcheng Chen, Yicheng He, Li He et al.

Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility

Fang Kong, Shuai Li

Adaptive Multi-head Contrastive Learning

Lei Wang, Piotr Koniusz, Tom Gedeon et al.

REVISION: Rendering Tools Enable Spatial Fidelity in Vision-Language Models

Agneet Chatterjee, Yiran Luo, Tejas Gokhale et al.

One-Shot Strategic Classification Under Unknown Costs

Elan Rosenfeld, Nir Rosenfeld

Siamese Learning with Joint Alignment and Regression for Weakly-Supervised Video Paragraph Grounding

Chaolei Tan, Jianhuang Lai, Wei-Shi Zheng et al.

Cycle Consistency Driven Object Discovery

Aniket Rajiv Didolkar, Anirudh Goyal, Yoshua Bengio

Ponymation: Learning Articulated 3D Animal Motions from Unlabeled Online Videos

Keqiang Sun, Dori Litvak, Yunzhi Zhang et al.

Inverse Approximation Theory for Nonlinear Recurrent Neural Networks

Shida Wang, Zhong Li, Qianxiao Li

Generating Non-Stationary Textures using Self-Rectification

Yang Zhou, Rongjun Xiao, Dani Lischinski et al.

Graph-based Virtual Sensing from Sparse and Partial Multivariate Observations

Giovanni De Felice, Andrea Cini, Daniele Zambon et al.

UniAP: Towards Universal Animal Perception in Vision via Few-Shot Learning

Meiqi Sun, Zhonghan Zhao, Wenhao Chai et al.

Slot Abstractors: Toward Scalable Abstract Visual Reasoning

Shanka Subhra Mondal, Jonathan Cohen, Taylor Webb

Gene Regulatory Network Inference in the Presence of Dropouts: a Causal View

HAOYUE DAI, Ignavier Ng, Gongxu Luo et al.

Identification of Necessary Semantic Undertakers in the Causal View for Image-Text Matching

Huatian Zhang, Lei Zhang, Kun Zhang et al.

Imaging Interiors: An Implicit Solution to Electromagnetic Inverse Scattering Problems

Ziyuan Luo, Boxin Shi, Haoliang Li et al.

Premier-TACO is a Few-Shot Policy Learner: Pretraining Multitask Representation via Temporal Action-Driven Contrastive Loss

Ruijie Zheng, Yongyuan Liang, xiyao wang et al.

DIAL: Dense Image-text ALignment for Weakly Supervised Semantic Segmentation

Soojin Jang, JungMin Yun, JuneHyoung Kwon et al.

MobileInst: Video Instance Segmentation on the Mobile

Renhong Zhang, Tianheng Cheng, Shusheng Yang et al.

DiVa-360: The Dynamic Visual Dataset for Immersive Neural Fields

Cheng-You Lu, Peisen Zhou, Angela Xing et al.

To Cool or not to Cool? Temperature Network Meets Large Foundation Models via DRO

Zi-Hao Qiu, Siqi Guo, Mao Xu et al.

Graph Neural Network Causal Explanation via Neural Causal Models

Arman Behnam, Binghui Wang

RoomTex: Texturing Compositional Indoor Scenes via Iterative Inpainting

Qi Wang, Ruijie Lu, Xudong XU et al.

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

Shiyu Tian, Hongxin Wei, Yiqun Wang et al.

Dense Vision Transformer Compression with Few Samples

Hanxiao Zhang, Yifan Zhou, Guo-Hua Wang

Object-Centric Learning with Slot Mixture Module

Daniil Kirilenko, Vitaliy Vorobyov, Aleksey Kovalev et al.

NVS-Adapter: Plug-and-Play Novel View Synthesis from a Single Image

Yoonwoo Jeong, Jinwoo Lee, Chiheon Kim et al.

Zero-Shot Structure-Preserving Diffusion Model for High Dynamic Range Tone Mapping

Ruoxi Zhu, Shusong Xu, Peiye Liu et al.

CatFormer: Category-Level 6D Object Pose Estimation with Transformer

Sheng Yu, Dihua Zhai, Yuanqing Xia

Exploiting Semantic Reconstruction to Mitigate Hallucinations in Vision-Language Models

Minchan Kim, Minyeong Kim, Junik Bae et al.

Contributing Dimension Structure of Deep Feature for Coreset Selection

Zhijing Wan, Zhixiang Wang, Yuran Wang et al.

Differentiable Mapper for Topological Optimization of Data Representation

Ziyad Oulhaj, Mathieu Carrière, Bertrand Michel

Single View Refractive Index Tomography with Neural Fields

Brandon Zhao, Aviad Levis, Liam Connor et al.

Lie Group Decompositions for Equivariant Neural Networks

Mircea Mironenco, Patrick Forré

Leveraging temporal contextualization for video action recognition

Minji Kim, Dongyoon Han, Taekyung Kim et al.

PMT: Progressive Mean Teacher via Exploring Temporal Consistency for Semi-Supervised Medical Image Segmentation

Ning Gao, Sanping Zhou, Le Wang et al.

LTA-PCS: Learnable Task-Agnostic Point Cloud Sampling

Jiaheng Liu, Jianhao Li, Kaisiyuan Wang et al.

Low-Light Face Super-resolution via Illumination, Structure, and Texture Associated Representation

Chenyang Wang, Junjun Jiang, Kui Jiang et al.

Large Language Models as Automated Aligners for benchmarking Vision-Language Models

Yuanfeng Ji, Chongjian GE, Weikai Kong et al.

MVDD: Multi-View Depth Diffusion Models

Zhen Wang, Qiangeng Xu, Feitong Tan et al.

Post-hoc bias scoring is optimal for fair classification

Wenlong Chen, Yegor Klochkov, Yang Liu

Semi-supervised Class-Agnostic Motion Prediction with Pseudo Label Regeneration and BEVMix

Kewei Wang, Yizheng Wu, Zhiyu Pan et al.

AdsorbDiff: Adsorbate Placement via Conditional Denoising Diffusion

Adeesh Kolluru, John Kitchin

Estimating Barycenters of Distributions with Neural Optimal Transport

Alexander Kolesov, Petr Mokrov, Igor Udovichenko et al.

Cross-Modal Match for Language Conditioned 3D Object Grounding

Yachao Zhang, Runze Hu, Ronghui Li et al.

SpikeNeRF: Learning Neural Radiance Fields from Continuous Spike Stream

Lin Zhu, Kangmin Jia, Yifan Zhao et al.

Towards Automated Movie Trailer Generation

Dawit Argaw Argaw, Mattia Soldan, Alejandro Pardo et al.

The Role of Masking for Efficient Supervised Knowledge Distillation of Vision Transformers

Seungwoo Son, Jegwang Ryu, Namhoon Lee et al.

Variational Inference for SDEs Driven by Fractional Noise

Rembert Daems, Manfred Opper, Guillaume Crevecoeur et al.

DiffAR: Denoising Diffusion Autoregressive Model for Raw Speech Waveform Generation

Roi Benita, Michael Elad, Joseph Keshet

Safeguard Text-to-Image Diffusion Models with Human Feedback Inversion

Sanghyun Kim, Seohyeon Jung, Balhae Kim et al.

Distributionally Robust Loss for Long-Tailed Multi-Label Image Classification

Dekun Lin, Zhe Cui, Rui Chen et al.

FSC: Few-point Shape Completion

Xianzu Wu, Xianfeng Wu, Tianyu Luan et al.

Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians

Tom Huix, Anna Korba, Alain Oliviero Durmus et al.

Cross-view Masked Diffusion Transformers for Person Image Synthesis

Trung Pham, Kang Zhang, Chang Yoo

Emerging Property of Masked Token for Effective Pre-training

Hyesong Choi, Hunsang Lee, Seyoung Joung et al.

Training-free Composite Scene Generation for Layout-to-Image Synthesis

Jiaqi Liu, Tao Huang, Chang Xu

Source-Free and Image-Only Unsupervised Domain Adaptation for Category Level Object Pose Estimation

Prakhar Kaushik, Aayush Mishra, Adam Kortylewski et al.

Beyond the Calibration Point: Mechanism Comparison in Differential Privacy

Georgios Kaissis, Stefan Kolek, Borja de Balle Pigem et al.

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

Linglin Jing, Yiming Ding, Yunpeng Gao et al.

Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models

Yifei Ming, Sharon Li

Going Beyond Neural Network Feature Similarity: The Network Feature Complexity and Its Interpretation Using Category Theory

Yiting Chen, Zhanpeng Zhou, Junchi Yan

Motion and Structure from Event-based Normal Flow

Zhongyang Ren, Bangyan Liao, Delei Kong et al.

Mapping the Multiverse of Latent Representations

Jeremy Wayland, Corinna Coupette, Bastian Rieck

FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware Graph Transformer

Dongyeong Hwang, Hyunju Kim, Sunwoo Kim et al.

Perceptual Assessment and Optimization of HDR Image Rendering

Peibei Cao, Rafal Mantiuk, Kede Ma

Model-Driven Deep Neural Network for Enhanced AoA Estimation Using 5G gNB

Shengheng Liu, Xingkang Li, Zihuan Mao et al.

BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining

Minjun Kim, SeungWoo Song, Youhan Lee et al.

3D Face Tracking from 2D Video through Iterative Dense UV to Image Flow

Felix Taubner, Prashant Raina, Mathieu Tuli et al.

A Distributional Analogue to the Successor Representation

Harley Wiltzer, Jesse Farebrother, Arthur Gretton et al.

A Sequentially Fair Mechanism for Multiple Sensitive Attributes

Francois HU, Philipp Ratz, Arthur Charpentier