Most Cited 2024 "ventral stream selectivity" Papers

S^3D-NeRF: Single-Shot Speech-Driven Neural Radiance Field for High Fidelity Talking Head Synthesis

Dongze Li, Kang Zhao, WEI WANG et al.

Efficient Training with Denoised Neural Weights

Yifan Gong, Zheng Zhan, Yanyu Li et al.

Local and Global Flatness for Federated Domain Generalization

Hao Yan, Yuhong Guo

Segmentation-guided Layer-wise Image Vectorization with Gradient Fills

Hengyu Zhou, Hui Zhang, Bin Wang

Learning Group Activity Features Through Person Attribute Prediction

Chihiro Nakatani, Hiroaki Kawashima, Norimichi Ukita

RaFE: Generative Radiance Fields Restoration

Zhongkai Wu, Ziyu Wan, Jing Zhang et al.

Parsimonious Learning-Augmented Approximations for Dense Instances of $\mathcal{NP}$-hard Problems

Evripidis Bampis, Bruno Escoffier, Michalis Xefteris

WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer

Kumar Shubham, Aishwarya Jayagopal, Syed Danish et al.

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

Yemin Yu, Luotian Yuan, Ying WEI et al.

Boost Your NeRF: A Model-Agnostic Mixture of Experts Framework for High Quality and Efficient Rendering

Francesco Di Sario, Riccardo Renzulli, Marco Grangetto et al.

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification

Wei Tan, Ngoc Dang Nguyen, Lan Du et al.

EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting

Zitao Wang, Qiguang Miao, Yue Xi et al.

DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism

Zhen Wang, Xinyun Jiang, Jun Xiao et al.

Maximizing the Success Probability of Policy Allocations in Online Systems

Artem Betlei, Mariia Vladimirova, Mehdi Sebbar et al.

Learning Discrete-Time Major-Minor Mean Field Games

Kai Cui, Gökçe Dayanıklı, Mathieu Laurière et al.

A General Implicit Framework for Fast NeRF Composition and Rendering

Xinyu Gao, Ziyi Yang, Yunlu Zhao et al.

Learning Robust Generalizable Radiance Field with Visibility and Feature Augmented Point Representation

Jiaxu Wang, Ziyi Zhang, Renjing Xu

Kinetic Typography Diffusion Model

Seonmi Park, Inhwan Bae, Seunghyun Shin et al.

FRI-Net: Floorplan Reconstruction via Room-wise Implicit Representation

Honghao Xu, Juzhan Xu, Zeyu Huang et al.

Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover

Takashi Horiyama, Yasuaki Kobayashi, Hirotaka Ono et al.

Risk Bounds of Accelerated SGD for Overparameterized Linear Regression

Xuheng Li, Yihe Deng, Jingfeng Wu et al.

Feature Attribution with Necessity and Sufficiency via Dual-stage Perturbation Test for Causal Explanation

Xuexin Chen, Ruichu Cai, Zhengting Huang et al.

Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning

Jihai Zhang, Xiang Lan, Xiaoye Qu et al.

OVFoodSeg: Elevating Open-Vocabulary Food Image Segmentation via Image-Informed Textual Representation

Xiongwei Wu, Sicheng Yu, Ee-Peng Lim et al.

Feature Diversification and Adaptation for Federated Domain Generalization

Seunghan Yang, Seokeon Choi, Hyunsin Park et al.

Treatment Effects Estimation By Uniform Transformer

Ruoqi Yu, Shulei Wang

Long-Tailed Learning as Multi-Objective Optimization

Weiqi Li, Fan Lyu, Fanhua Shang et al.

On a Combinatorial Problem Arising in Machine Teaching

Joakim Sunde, Brigt Håvardstun, Jan Kratochvíl et al.

Envy-Free House Allocation under Uncertain Preferences

Haris Aziz, Isaiah Iliffe, Bo Li et al.

Leveraging Hyperbolic Embeddings for Coarse-to-Fine Robot Design

Heng Dong, Junyu Zhang, Chongjie Zhang

Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers

Johann Schmidt, Sebastian Stober

Structural Estimation of Partially Observed Linear Non-Gaussian Acyclic Model: A Practical Approach with Identifiability

Songyao Jin, Feng Xie, Guangyi Chen et al.

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains

Yu Zhang, Yunyi Zhang, Yanzhen Shen et al.

Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation

Haozhi Cao, Yuecong Xu, Jianfei Yang et al.

Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition

Qi Rao, Ke Sun, Xiaohan Wang et al.

FutureHuman3D: Forecasting Complex Long-Term 3D Human Behavior from Video Observations

Christian Diller, Thomas Funkhouser, Angela Dai

Convolutional Deep Kernel Machines

Edward Milsom, Ben Anson, Laurence Aitchison

Stationary Representations: Optimally Approximating Compatibility and Implications for Improved Model Replacements

Niccolò Biondi, Federico Pernici, Simone Ricci et al.

Learning by Aligning 2D Skeleton Sequences and Multi-Modality Fusion

Quoc-Huy Tran, Muhammad Ahmed, Murad Popattia et al.

ContextRef: Evaluating Referenceless Metrics for Image Description Generation

Elisa Kreiss, Elisa Kreiss, Eric Zelikman et al.

Event-based Mosaicing Bundle Adjustment

Shuang Guo, Guillermo Gallego

A Subspace-Constrained Tyler's Estimator and its Applications to Structure from Motion

Feng Yu, Teng Zhang, Gilad Lerman

Dropout Mixture Low-Rank Adaptation for Visual Parameters-Efficient Fine-Tuning

Zhengyi Fang, Yue Wang, Ran Yi et al.

TagFog: Textual Anchor Guidance and Fake Outlier Generation for Visual Out-of-Distribution Detection

Jiankang Chen, Tong Zhang, Wei-shi Zheng et al.

Raising the Ceiling: Conflict-Free Local Feature Matching with Dynamic View Switching

Xiaoyong Lu, Songlin Du

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting

Anthony Chen, Huanrui Yang, Yulu Gan et al.

Active Coarse-to-Fine Segmentation of Moveable Parts from Real Images

Ruiqi Wang, Akshay Gadi Patil, Fenggen Yu et al.

PID: Prompt-Independent Data Protection Against Latent Diffusion Models

Ang Li, Yichuan Mo, Mingjie Li et al.

Reliable Data Generation and Selection for Low-Resource Relation Extraction

Junjie Yu, Xing Wang, Wenliang Chen

Modeling Knowledge Graphs with Composite Reasoning

Wanyun Cui, Linqiu Zhang

Long-Tail Temporal Action Segmentation with Group-wise Temporal Logit Adjustment

Zhanzhong Pang, Fadime Sener, Shrinivas Ramasubramanian et al.

Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs

Jeongkee Lim, Yusung Kim

An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks

Dongwon Son, Jaehyung Kim, Sanghyeon Son et al.

Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift

Yihao Xue, Siddharth Joshi, Dang Nguyen et al.

Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization

Hanmin Li, Avetik Karagulyan, Peter Richtarik

Chameleon: A Data-Efficient Generalist for Dense Visual Prediction in the Wild

Donggyun Kim, Seongwoong Cho, Semin Kim et al.

Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator

Jieru Lin, Danqing Huang, Tiejun Zhao et al.

SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes

Mohammad Zohaib, Luca Cosmo, Alessio Del Bue

Towards Robust 3D Pose Transfer with Adversarial Learning

Haoyu Chen, Hao Tang, Ehsan Adeli et al.

DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos

Chunjie Luo, Fei Luo, Yusen Wang et al.

ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation

Brandon Theodorou, Shrusti Jain, Cao Xiao et al.

MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image Generation

Yuxiang WEI, Zhilong Ji, Jinfeng Bai et al.

SCOMatch: Alleviating Overtrusting in Open-set Semi-supervised Learning

ZERUN WANG, Liuyu Xiang, Lang Huang et al.

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

Zhiguang Yang, Liufang Sang, Haoran Wang et al.

Structured Gradient-based Interpretations via Norm-Regularized Adversarial Training

Shizhan Gong, Qi Dou, Farzan Farnia

Make Lossy Compression Meaningful for Low-Light Images

Shilv Cai, Liqun Chen, Sheng Zhong et al.

DATENeRF: Depth-Aware Text-based Editing of NeRFs

Sara Rojas Martinez, Julien Philip, Kai Zhang et al.

DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models

Nastaran Saadati, Minh Pham, Nasla Saleem et al.

OMR: Occlusion-Aware Memory-Based Refinement for Video Lane Detection

Dongkwon Jin, Chang-Su Kim

Multi-Region Markovian Gaussian Process: An Efficient Method to Discover Directional Communications Across Multiple Brain Regions

Weihan Li, Chengrui Li, Yule Wang et al.

Superpixel-informed Implicit Neural Representation for Multi-Dimensional Data

Jiayi Li, Xi-Le Zhao, Jian-Li Wang et al.

Stable Video Portraits

Mirela Ostrek, Justus Thies

Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions

Teemu Hankala, Miika Hannula, Juha Kontinen et al.

Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines

Yuchen Li, Alexandre Kirchmeyer, Aashay Mehta et al.

Trust the Model Where It Trusts Itself - Model-Based Actor-Critic with Uncertainty-Aware Rollout Adaption

Bernd Frauenknecht, Artur Eisele, Devdutt Subhasish et al.

Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization

Yan Yan, Yuhong Guo

Minimalist Vision with Freeform Pixels

Jeremy Klotz, Shree Nayar

Neural Metamorphosis

Xingyi Yang, Xinchao Wang

Hybrid Reinforcement Learning from Offline Observation Alone

Yuda Song, J. Bagnell, Aarti Singh

Continuous Pose for Monocular Cameras in Neural Implicit Representation

Qi Ma, Danda Paudel, Ajad Chhatkuli et al.

SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation

Yinqiao Wang, Hao Xu, Pheng-Ann Heng et al.

Revisiting Adaptive Cellular Recognition Under Domain Shifts: A Contextual Correspondence View

Jianan Fan, Dongnan Liu, Canran Li et al.

One Size Fits All for Semantic Shifts: Adaptive Prompt Tuning for Continual Learning

Doyoung Kim, Susik Yoon, Dongmin Park et al.

RL-CFR: Improving Action Abstraction for Imperfect Information Extensive-Form Games with Reinforcement Learning

Boning Li, Zhixuan Fang, Longbo Huang

Learning Real-World Image De-weathering with Imperfect Supervision

Xiaohui Liu, Zhilu Zhang, Xiaohe Wu et al.

Doubly Perturbed Task Free Continual Learning

Byung Hyun Lee, Min-hwan Oh, Se Young Chun

Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection

Fan Shi, Bin Li, Xiangyang Xue

CoPT: Unsupervised Domain Adaptive Segmentation using Domain-Agnostic Text Embeddings

Cristina Mata, Kanchana N Ranasinghe, Michael S Ryoo

Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models

Yang Liu

Open-World Dynamic Prompt and Continual Visual Representation Learning

Youngeun Kim, Jun Fang, Qin Zhang et al.

3D Reconstruction with Generalizable Neural Fields using Scene Priors

Yang Fu, Shalini De Mello, Xueting Li et al.

Online bipartite matching with imperfect advice

Davin Choo, Themis Gouleakis, Chun Kai Ling et al.

Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction

Christoph Jürgen Hemmer, Manuel Brenner, Florian Hess et al.

Demonstration-Regularized RL

Daniil Tiapkin, Denis Belomestny, Daniele Calandriello et al.

MMCert: Provable Defense against Adversarial Attacks to Multi-modal Models

Yanting Wang, Hongye Fu, Wei Zou et al.

LiveHPS++: Robust and Coherent Motion Capture in Dynamic Free Environment

Yiming Ren, Xiao Han, Yichen Yao et al.

Spike-Temporal Latent Representation for Energy-Efficient Event-to-Video Reconstruction

Jianxiong Tang, Jian-Huang Lai, Lingxiao Yang et al.

Understanding and Leveraging the Learning Phases of Neural Networks

Spin-UP: Spin Light for Natural Light Uncalibrated Photometric Stereo

Zongrui Li, Zhan Lu, Haojie Yan et al.

Low-Latency Neural Stereo Streaming

Qiqi Hou, Farzad Farhadzadeh, Amir Said et al.

Learning from the Web: Language Drives Weakly-Supervised Incremental Learning for Semantic Segmentation

Chang Liu, Giulia Rizzoli, Pietro Zanuttigh et al.

Self-Infilling Code Generation

Lin Zheng, Jianbo Yuan, Zhi Zhang et al.

Building Variable-Sized Models via Learngene Pool

Boyu Shi, Shiyu Xia, Xu Yang et al.

Using My Artistic Style? You Must Obtain My Authorization

Xiuli Bi, Haowei Liu, Weisheng Li et al.

Privacy-Preserving Data Release Leveraging Optimal Transport and Particle Gradient Descent

Konstantin Donhauser, Javier Abad, Neha Hulkund et al.

VINECS: Video-based Neural Character Skinning

Zhouyingcheng Liao, Vladislav Golyanik, Marc Habermann et al.

MAP: MAsk-Pruning for Source-Free Model Intellectual Property Protection

Boyang Peng, Sanqing Qu, Yong Wu et al.

HAT: History-Augmented Anchor Transformer for Online Temporal Action Localization

Sakib Reza, Yuexi Zhang, Mohsen Moghaddam et al.

Towards a Theoretical Understanding of Why Local Search Works for Clustering with Fair-Center Representation

Zhen Zhang, Junfeng Yang, Limei Liu et al.

How Flawed Is ECE? An Analysis via Logit Smoothing

Muthu Chidambaram, Holden Lee, Colin McSwiggen et al.

Debiased Distribution Compression

Lingxiao Li, Raaz Dwivedi, Lester Mackey

Taming CLIP for Fine-grained and Structured Visual Understanding of Museum Exhibits

Ada-Astrid Balauca, Danda Paudel, Kristina Toutanova et al.

Pose Modulated Avatars from Video

Chunjin Song, Bastian Wandt, Helge Rhodin

Enhancing Multi-Label Classification via Dynamic Label-Order Learning

Jiangnan Li, Yice ZHANG, Shiwei Chen et al.

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring

Peng TANG, Zhiqiang Xu, Chunlai Zhou et al.

Energy-Clibrated VAE with Test Time Free Lunch

Yihong Luo, Siya Qiu, Xingjian Tao et al.

Physics-Free Spectrally Multiplexed Photometric Stereo under Unknown Spectral Composition

Satoshi Ikehata, Yuta Asano

Learning Pseudo 3D Guidance for View-consistent Texturing with 2D Diffusion

Kehan Li, Yanbo Fan, Yang Wu et al.

TTD: Text-Tag Self-Distillation Enhancing Image-Text Alignment in CLIP to Alleviate Single Tag Bias

Sanghyun Jo, Soohyun Ryu, Sungyub Kim et al.

Emergent Communication for Numerical Concepts Generalization

Enshuai Zhou, Yifan Hao, Rui Zhang et al.

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation

9135 Yu Wang, Zexue He, Zhankui He et al.

f-FERM: A Scalable Framework for Robust Fair Empirical Risk Minimization

Sina Baharlouei, Shivam Patel, Meisam Razaviyayn

UMERegRobust – Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration

Yuval Haitman, Amit Efraim, Joseph Francos

Efficient Stochastic Approximation of Minimax Excess Risk Optimization

Lijun Zhang, Haomin Bai, Wei-Wei Tu et al.

Stitched ViTs are Flexible Vision Backbones

Zizheng Pan, Jing Liu, Haoyu He et al.

Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection

Meng Xing, Zhiyong Feng, Yong Su et al.

Non-transferable Pruning

Ruyi Ding, Lili Su, A. Adam Ding et al.

R^2-Bench: Benchmarking the Robustness of Referring Perception Models under Perturbations

Xiang Li, Kai Qiu, Jinglu Wang et al.

Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI

Qinqian Lei, Bo Wang, Robby T. Tan

CTRLorALTer: Conditional LoRAdapter for Efficient 0-Shot Control & Altering of T2I Models

Nick Stracke, Stefan Andreas Baumann, Joshua Susskind et al.

D-SCo: Dual-Stream Conditional Diffusion for Monocular Hand-Held Object Reconstruction

Bowen Fu, Gu Wang, Chenyangguang Zhang et al.

Going beyond Compositions, DDPMs Can Produce Zero-Shot Interpolations

Justin Deschenaux, Igor Krawczuk, Grigorios Chrysos et al.

Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks

Tingyu Qu, Tinne Tuytelaars, Marie-Francine Moens

Collective Certified Robustness against Graph Injection Attacks

Yuni Lai, Bailin PAN, kaihuang CHEN et al.

UniFS: Universal Few-shot Instance Perception with Point Representations

Sheng Jin, Ruijie Yao, Lumin Xu et al.

Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies

Alex DeWeese, Guannan Qu

Dissecting Dissonance: Benchmarking Large Multimodal Models Against Self-Contradictory Instructions

Jin Gao, Lei Gan, Yuankai Li et al.

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

Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya et al.

Parameterization-driven Neural Surface Reconstruction for Object-oriented Editing in Neural Rendering

Baixin Xu, Jiangbei Hu, Fei Hou et al.

IReNe: Instant Recoloring of Neural Radiance Fields

Alessio Mazzucchelli, Adrian Garcia-Garcia, Elena Garces et al.

Counterfactual Metarules for Local and Global Recourse

Tom Bewley, Salim I. Amoukou, Saumitra Mishra et al.

Traffic Scene Parsing through the TSP6K Dataset

Peng-Tao Jiang, Yuqi Yang, Yang Cao et al.

StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation

Weike Fang, Zhejian Zhou, Junzhou He et al.

Competition among Pairwise Lottery Contests

Xiaotie Deng, Hangxin Gan, Ningyuan Li et al.

Learning Multimodal Latent Generative Models with Energy-Based Prior

Shiyu Yuan, Jiali Cui, Hanao Li et al.

PHFormer: Multi-Fragment Assembly Using Proxy-Level Hybrid Transformer

Wenting Cui, Runzhao Yao, Shaoyi Du

Navigating Text-to-Image Generative Bias across Indic Languages

Surbhi Mittal, Arnav Sudan, MAYANK VATSA et al.

Bayesian Differentiable Physics for Cloth Digitalization

Deshan Gong, Ningtao Mao, He Wang

Causal Structure Recovery with Latent Variables under Milder Distributional and Graphical Assumptions

Xiuchuan Li, Kun Zhang, Tongliang Liu

Dataset Growth

Ziheng Qin, zhaopan xu, YuKun Zhou et al.

Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems

Jiaqian Li, Minming Li, Hau Chan

Non-parametric Sensor Noise Modeling and Synthesis

Ali Mosleh, Luxi Zhao, Atin Vikram Singh et al.

SPIDeRS: Structured Polarization for Invisible Depth and Reflectance Sensing

Tomoki Ichikawa, Shohei Nobuhara, Ko Nishino

Gravity-aligned Rotation Averaging with Circular Regression

Linfei Pan, Marc Pollefeys, Daniel Barath

Unveiling the Potential of AI for Nanomaterial Morphology Prediction

Ivan Dubrovsky, Andrei Dmitrenko, Aleksey Dmitrenko et al.

ODIM: Outlier Detection via Likelihood of Under-Fitted Generative Models

Dongha Kim, Jaesung Hwang, Jongjin Lee et al.

Making Old Things New: A Unified Algorithm for Differentially Private Clustering

Max Dupre la Tour, Monika Henzinger, David Saulpic

Efficient Error Certification for Physics-Informed Neural Networks

Francisco Eiras, Adel Bibi, Rudy Bunel et al.

From Past to Future: Rethinking Eligibility Traces

Dhawal Gupta, Scott Jordan, Shreyas Chaudhari et al.

Harnessing Joint Rain-/Detail-aware Representations to Eliminate Intricate Rains

Wu Ran, Peirong Ma, Zhiquan He et al.

NeLF-Pro: Neural Light Field Probes for Multi-Scale Novel View Synthesis

Zinuo You, Andreas Geiger, Anpei Chen

Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks

Bo Li, Wei Ye, Quansen Wang et al.

Learning Causal Dynamics Models in Object-Oriented Environments

Zhongwei Yu, Jingqing Ruan, Dengpeng Xing

Effective and Efficient Federated Tree Learning on Hybrid Data

Qinbin Li, Chulin Xie, Xiaojun Xu et al.

Quantifying the Sensitivity of Inverse Reinforcement Learning to Misspecification

Joar Skalse, Alessandro Abate

COMPOSE: Comprehensive Portrait Shadow Editing

Andrew Hou, Zhixin Shu, Xuaner Zhang et al.

Equi-GSPR: Equivariant SE(3) Graph Network Model for Sparse Point Cloud Registration

Xueyang Kang, Zhaoliang Luan, Kourosh Khoshelham et al.

SweepNet: Unsupervised Learning Shape Abstraction via Neural Sweepers

Mingrui Zhao, Yizhi Wang, Fenggen Yu et al.

Ray-Distance Volume Rendering for Neural Scene Reconstruction

Ruihong Yin, Yunlu Chen, Sezer Karaoglu et al.

Hierarchical Separable Video Transformer for Snapshot Compressive Imaging

Ping Wang, Yulun Zhang, Lishun Wang et al.

Decoupling Feature Extraction and Classification Layers for Calibrated Neural Networks

Mikkel Jordahn, Pablo Olmos

Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation

Shreyas Havaldar, Navodita Sharma, Shubhi Sareen et al.

SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations

Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng et al.

M3DBench: Towards Omni 3D Assistant with Interleaved Multi-modal Instructions

Mingsheng Li, Xin Chen, Chi Zhang et al.

IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks

Yue Cao, Tianlin Li, Xiaofeng Cao et al.

FedTSA: A Cluster-based Two-Stage Aggregation Method for Model-heterogeneous Federated Learning

Boyu Fan, Chenrui Wu, Xiang Su et al.

On Train-Test Class Overlap and Detection for Image Retrieval

Chull Hwan Song, Jooyoung Yoon, Taebaek Hwang et al.

WeCromCL: Weakly Supervised Cross-Modality Contrastive Learning for Transcription-only Supervised Text Spotting

Jingjing Wu, Zhengyao Fang, Pengyuan Lyu et al.

Improved algorithm and bounds for successive projection

Jiashun Jin, Tracy Ke, Gabriel Moryoussef et al.

A General Theoretical Framework for Learning Smallest Interpretable Models

Sebastian Ordyniak, Giacomo Paesani, Mateusz Banany et al.

Scaling Convex Neural Networks with Burer-Monteiro Factorization

Arda Sahiner, Tolga Ergen, Batu Ozturkler et al.

Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization

Marin Scalbert, Maria Vakalopoulou, Florent Couzinie-Devy

Projection-Free Variance Reduction Methods for Stochastic Constrained Multi-Level Compositional Optimization

Wei Jiang, Sifan Yang, Wenhao Yang et al.

Attention Beats Linear for Fast Implicit Neural Representation Generation

Shuyi Zhang, Ke Liu, Jingjun Gu et al.

PoseAugment: Generative Human Pose Data Augmentation with Physical Plausibility for IMU-based Motion Capture

Zhuojun Li, Chun Yu, Chen Liang et al.

Simulation-Based Inference with Quantile Regression

He Jia

Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks

Jie Hu, Vishwaraj Doshi, Do Young Eun

Contribution-based Low-Rank Adaptation with Pre-training Model for Real Image Restoration

Dongwon Park, Hayeon Kim, Se Young Chun

3DFIRES: Few Image 3D REconstruction for Scenes with Hidden Surfaces

Linyi Jin, Nilesh Kulkarni, David Fouhey

Explaining the Implicit Neural Canvas: Connecting Pixels to Neurons by Tracing their Contributions

Namitha Padmanabhan, Matthew A Gwilliam, Pulkit Kumar et al.

PASOA- PArticle baSed Bayesian Optimal Adaptive design

Jacopo Iollo, Christophe Heinkelé, Pierre Alliez et al.

PAPR in Motion: Seamless Point-level 3D Scene Interpolation

Shichong Peng, Yanshu Zhang, Ke Li

Faster Stochastic Variance Reduction Methods for Compositional MiniMax Optimization

Jin Liu, Xiaokang Pan, Junwen Duan et al.

ALAM: Averaged Low-Precision Activation for Memory-Efficient Training of Transformer Models

Sunghyeon Woo, SunWoo Lee, Dongsuk Jeon

Scalable Motion Style Transfer with Constrained Diffusion Generation

Wenjie Yin, Yi Yu, Hang Yin et al.

Anatomically Constrained Implicit Face Models

Prashanth Chandran, Gaspard Zoss

Contrastive Learning with Synthetic Positives

Dewen Zeng, Xinrong Hu, Yawen Wu et al.

3D Human Pose Estimation via Non-Causal Retentive Networks

Kaili Zheng, Feixiang Lu, Yihao Lv et al.

Test-time Model Adaptation for Image Reconstruction Using Self-supervised Adaptive Layers

Zhao Yutian, Tianjing Zhang, Hui JI

Urban Waterlogging Detection: A Challenging Benchmark and Large-Small Model Co-Adapter

Suqi Song, Chenxu Zhang, Peng Zhang et al.