Most Cited 2024 "fourier embedding" Papers

PartGLEE: A Foundation Model for Recognizing and Parsing Any Objects

Junyi Li, Junfeng Wu, Weizhi Zhao et al.

Adaptive Proximal Gradient Methods Are Universal Without Approximation

Konstantinos Oikonomidis, Emanuel Laude, Puya Latafat et al.

Full Bayesian Significance Testing via Neural Networks

Zehua Liu, Zimeng Li, Jingyuan Wang et al.

FADAS: Towards Federated Adaptive Asynchronous Optimization

Yujia Wang, Shiqiang Wang, Songtao Lu et al.

DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion

Liao Shen, Tianqi Liu, Huiqiang Sun et al.

Sample-specific Masks for Visual Reprogramming-based Prompting

Chengyi Cai, Zesheng Ye, Lei Feng et al.

ViC-MAE: Self-Supervised Representation Learning from Images and Video with Contrastive Masked Autoencoders

Jefferson Hernandez, Ruben Villegas, Vicente Ordonez

ReSyncer: Rewiring Style-based Generator for Unified Audio-Visually Synced Facial Performer

Jiazhi Guan, Zhiliang Xu, Hang Zhou et al.

PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness

Siyao Jiang, Huisi Wu, Junyang Chen et al.

Federated Causality Learning with Explainable Adaptive Optimization

Dezhi Yang, Xintong He, Jun Wang et al.

Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation

Xinliang Zhang, Lei Zhu, Hangzhou He et al.

Rethinking the Paradigm of Content Constraints in Unpaired Image-to-Image Translation

Xiuding Cai, Yaoyao Zhu, Dong Miao et al.

Locality-Sensitive Hashing-Based Efficient Point Transformer with Applications in High-Energy Physics

Siqi Miao, Zhiyuan Lu, Mia Liu et al.

Learning Representations of Satellite Images From Metadata Supervision

Jules Bourcier, Gohar Dashyan, Karteek Alahari et al.

FashionERN: Enhance-and-Refine Network for Composed Fashion Image Retrieval

Yanzhe Chen, Huasong Zhong, Xiangteng He et al.

Superposition Prompting: Improving and Accelerating Retrieval-Augmented Generation

Thomas Merth, Qichen Fu, Mohammad Rastegari et al.

M3SOT: Multi-Frame, Multi-Field, Multi-Space 3D Single Object Tracking

Jiaming Liu, Yue Wu, Maoguo Gong et al.

Recurrent Early Exits for Federated Learning with Heterogeneous Clients

Royson Lee, Javier Fernandez-Marques, Xu Hu et al.

F3Loc: Fusion and Filtering for Floorplan Localization

Changan Chen, Rui Wang, Christoph Vogel et al.

OSSCAR: One-Shot Structured Pruning in Vision and Language Models with Combinatorial Optimization

Xiang Meng, Shibal Ibrahim, Kayhan Behdin et al.

Multi-Scene Generalized Trajectory Global Graph Solver with Composite Nodes for Multiple Object Tracking

Yan Gao, Haojun Xu, Jie Li et al.

MagicEraser: Erasing Any Objects via Semantics-Aware Control

FAN LI, Zixiao Zhang, Yi Huang et al.

Projecting Points to Axes: Oriented Object Detection via Point-Axis Representation

Zeyang Zhao, Qilong Xue, Yifan Bai et al.

Learning Temporal Resolution in Spectrogram for Audio Classification

Haohe Liu, Xubo Liu, Qiuqiang Kong et al.

On the Utility of 3D Hand Poses for Action Recognition

Md Salman Shamil, Dibyadip Chatterjee, Fadime Sener et al.

Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates

Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui et al.

DiffSED: Sound Event Detection with Denoising Diffusion

Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia et al.

Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging

Peirong Liu, Oula Puonti, Xiaoling Hu et al.

Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing

Xinyu Hu, Pengfei Tang, Simiao Zuo et al.

Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models

Qitan Lv, Jie Wang, Hanzhu Chen et al.

Object Recognition as Next Token Prediction

Kaiyu Yue, Bor-Chun Chen, Jonas Geiping et al.

Chronic Poisoning: Backdoor Attack against Split Learning

Fangchao Yu, Bo Zeng, Kai Zhao et al.

Generating Enhanced Negatives for Training Language-Based Object Detectors

Shiyu Zhao, Long Zhao, Vijay Kumar BG et al.

Model Inversion Robustness: Can Transfer Learning Help?

Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran et al.

UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding

Bowen Shi, Peisen Zhao, Zichen Wang et al.

Retro-fallback: retrosynthetic planning in an uncertain world

Austin Tripp, Krzysztof Maziarz, Sarah Lewis et al.

Enhancing Small Medical Learners with Privacy-preserving Contextual Prompting

xinlu zhang, Shiyang Li, Xianjun Yang et al.

MovingParts: Motion-based 3D Part Discovery in Dynamic Radiance Field

Kaizhi Yang, Xiaoshuai Zhang, Zhiao Huang et al.

Restoring balance: principled under/oversampling of data for optimal classification

Emanuele Loffredo, Mauro Pastore, Simona Cocco et al.

Bayesian Uncertainty for Gradient Aggregation in Multi-Task Learning

Idan Achituve, Idit Diamant, Arnon Netzer et al.

FedLoGe: Joint Local and Generic Federated Learning under Long-tailed Data

Zikai Xiao, Zihan Chen, Liyinglan Liu et al.

PAC Prediction Sets Under Label Shift

Wenwen Si, Sangdon Park, Insup Lee et al.

3iGS: Factorised Tensorial Illumination for 3D Gaussian Splatting

Zhe Jun Tang, Tat-Jen Cham

Federated Online Adaptation for Deep Stereo

Matteo Poggi, Fabio Tosi

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction

Zhixuan Chu, Mengxuan Hu, Qing Cui et al.

EvTexture: Event-driven Texture Enhancement for Video Super-Resolution

Dachun Kai, Jiayao Lu, Yueyi Zhang et al.

ScatterFormer: Efficient Voxel Transformer with Scattered Linear Attention

Chenhang He, Ruihuang Li, Guowen Zhang et al.

Reward-Free Curricula for Training Robust World Models

Marc Rigter, Minqi Jiang, Ingmar Posner

Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers

Ruiyuan Zhang, Jiaxiang Liu, Zexi Li et al.

Improving Neural Additive Models with Bayesian Principles

Kouroche Bouchiat, Alexander Immer, Hugo Yèche et al.

SimCalib: Graph Neural Network Calibration Based on Similarity between Nodes

Boshi Tang, Zhiyong Wu, Xixin Wu et al.

Early Preparation Pays Off: New Classifier Pre-tuning for Class Incremental Semantic Segmentation

Zhengyuan Xie, Haiquan Lu, Jia-wen Xiao et al.

Boosting 3D Single Object Tracking with 2D Matching Distillation and 3D Pre-training

qiangqiang wu, Yan Xia, Jia Wan et al.

BKDSNN: Enhancing the Performance of Learning-based Spiking Neural Networks Training with Blurred Knowledge Distillation

Zekai Xu, Kang You, Qinghai Guo et al.

InstructGIE: Towards Generalizable Image Editing

Zichong Meng, Changdi Yang, Jun Liu et al.

CHAI: Clustered Head Attention for Efficient LLM Inference

Saurabh Agarwal, Bilge Acun, Basil Hosmer et al.

Local Action-Guided Motion Diffusion Model for Text-to-Motion Generation

Peng Jin, Hao Li, Zesen Cheng et al.

Missing Modality Prediction for Unpaired Multimodal Learning via Joint Embedding of Unimodal Models

Taesup Kim, Donggeun Kim

Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis

Qi Sun, Hang Zhou, Wengang Zhou et al.

Unlocking Textual and Visual Wisdom: Open-Vocabulary 3D Object Detection Enhanced by Comprehensive Guidance from Text and Image

Pengkun Jiao, Na Zhao, Jingjing Chen et al.

From Posterior Sampling to Meaningful Diversity in Image Restoration

Noa Cohen, Hila Manor, Yuval Bahat et al.

BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK

Quoc Viet Vo, Ehsan Abbasnejad, Damith Ranasinghe

Open-Vocabulary Camouflaged Object Segmentation

Youwei Pang, Xiaoqi Zhao, JiaMing Zuo et al.

Geospecific View Generation - Geometry-Context Aware High-resolution Ground View Inference from Satellite Views

Ningli Xu, Rongjun Qin

Mitigating Label Noise through Data Ambiguation

Julian Lienen, Eyke Hüllermeier

3D Building Reconstruction from Monocular Remote Sensing Images with Multi-level Supervisions

Weijia Li, Haote Yang, Zhenghao Hu et al.

Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization

Jian Liang, Sheng, Zhengbo Wang et al.

What is Dataset Distillation Learning?

William Yang, Ye Zhu, Zhiwei Deng et al.

WildRefer: 3D Object Localization in Large-scale Dynamic Scenes with Multi-modal Visual Data and Natural Language

Zhenxiang Lin, Xidong Peng, peishan cong et al.

Fairness-aware Vision Transformer via Debiased Self-Attention

Yao Qiang, Chengyin Li, Prashant Khanduri et al.

STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay

Yu Yongcan, Lijun Sheng, Ran He et al.

Harnessing Text-to-Image Diffusion Models for Category-Agnostic Pose Estimation

Duo Peng, Zhengbo Zhang, Ping Hu et al.

Deeper or Wider: A Perspective from Optimal Generalization Error with Sobolev Loss

Yahong Yang, Juncai He

Privacy-Preserving Optics for Enhancing Protection in Face De-Identification

Jhon Lopez, Carlos Hinojosa, Henry Arguello et al.

Mining Fine-Grained Image-Text Alignment for Zero-Shot Captioning via Text-Only Training

Longtian Qiu, Shan Ning, Xuming He

OVD-Explorer: Optimism Should Not Be the Sole Pursuit of Exploration in Noisy Environments

Jinyi Liu, Zhi Wang, Yan Zheng et al.

Semi-supervised Segmentation of Histopathology Images with Noise-Aware Topological Consistency

Meilong Xu, Xiaoling Hu, Saumya Gupta et al.

GENIXER: Empowering Multimodal Large Language Models as a Powerful Data Generator

Hengyuan Zhao, Pan Zhou, Mike Zheng Shou

Towards Optimal Feature-Shaping Methods for Out-of-Distribution Detection

Qinyu Zhao, Ming Xu, Kartik Gupta et al.

OTSeg: Multi-prompt Sinkhorn Attention for Zero-Shot Semantic Segmentation

Kwanyoung Kim, Yujin Oh, Jong Chul Ye

Few-shot Defect Image Generation based on Consistency Modeling

Qingfeng Shi, Jing Wei, Fei Shen et al.

TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks

Jinjie Mai, Wenxuan Zhu, Sara Rojas Martinez et al.

BAFFLE: A Baseline of Backpropagation-Free Federated Learning

Haozhe Feng, Tianyu Pang, Chao Du et al.

Look, Remember and Reason: Grounded Reasoning in Videos with Language Models

Apratim Bhattacharyya, Sunny Panchal, Reza Pourreza et al.

SportsSloMo: A New Benchmark and Baselines for Human-centric Video Frame Interpolation

Jiaben Chen, Huaizu Jiang

Can Textual Semantics Mitigate Sounding Object Segmentation Preference?

Yaoting Wang, Peiwen Sun, Yuanchao Li et al.

GDA: Generalized Diffusion for Robust Test-time Adaptation

Yun-Yun Tsai, Fu-Chen Chen, Albert Chen et al.

Can OOD Object Detectors Learn from Foundation Models?

Jiahui Liu, Xin Wen, Shizhen Zhao et al.

MusicFlow: Cascaded Flow Matching for Text Guided Music Generation

Prajwal K R, Bowen Shi, Matthew Le et al.

Tuning-Free Stochastic Optimization

Ahmed Khaled, Chi Jin

Sparse Inducing Points in Deep Gaussian Processes: Enhancing Modeling with Denoising Diffusion Variational Inference

JIAN XU, Delu Zeng, John Paisley

3DGazeNet: Generalizing Gaze Estimation with Weak Supervision from Synthetic Views

Evangelos Ververas, Polydefkis Gkagkos, Jiankang Deng et al.

DV-3DLane: End-to-end Multi-modal 3D Lane Detection with Dual-view Representation

Yueru Luo, Shuguang Cui, Zhen Li

Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation

Noel Loo, Ramin Hasani, Mathias Lechner et al.

GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework

Fangyikang Wang, Huminhao Zhu, Chao Zhang et al.

MicroDiffusion: Implicit Representation-Guided Diffusion for 3D Reconstruction from Limited 2D Microscopy Projections

mude hui, Zihao Wei, Hongru Zhu et al.

On the hardness of learning under symmetries

Bobak Kiani, Thien Le, Hannah Lawrence et al.

Rethinking Data Augmentation for Robust LiDAR Semantic Segmentation in Adverse Weather

Junsung Park, Kyungmin Kim, Hyunjung Shim

Towards Image Ambient Lighting Normalization

Florin-Alexandru Vasluianu, Tim Seizinger, Zongwei Wu et al.

Distilling Reliable Knowledge for Instance-Dependent Partial Label Learning

Dong-Dong Wu, Deng-Bao Wang, Min-Ling Zhang

Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning

Jing Xu, Jingzhao Zhang

Enhancing RAW-to-sRGB with Decoupled Style Structure in Fourier Domain

Xuanhua He, Tao Hu, Guoli Wang et al.

OST: Refining Text Knowledge with Optimal Spatio-Temporal Descriptor for General Video Recognition

Tongjia Chen, Hongshan Yu, Zhengeng Yang et al.

Boosting Adversarial Training via Fisher-Rao Norm-based Regularization

Xiangyu Yin, Wenjie Ruan

A Unified Sampling Framework for Solver Searching of Diffusion Probabilistic Models

Enshu Liu, Xuefei Ning, Huazhong Yang et al.

ISP-Teacher: Image Signal Process with Disentanglement Regularization for Unsupervised Domain Adaptive Dark Object Detection

Yin Zhang, Yongqiang Zhang, Zian Zhang et al.

An Image is Worth Multiple Words: Discovering Object Level Concepts using Multi-Concept Prompt Learning

Chen Jin, Ryutaro Tanno, Amrutha Saseendran et al.

Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D

Mukund Varma T, Peihao Wang, Zhiwen Fan et al.

MultiDelete for Multimodal Machine Unlearning

Jiali Cheng, Hadi Amiri

CAD: Photorealistic 3D Generation via Adversarial Distillation

Ziyu Wan, Despoina Paschalidou, Ian Huang et al.

DoughNet: A Visual Predictive Model for Topological Manipulation of Deformable Objects

Dominik Bauer, Zhenjia Xu, Shuran Song

Brain Decodes Deep Nets

Huzheng Yang, James Gee, Jianbo Shi

Self-Guided Generation of Minority Samples Using Diffusion Models

Soobin Um, Jong Chul Ye

DiffuMatting: Synthesizing Arbitrary Objects with Matting-level Annotation

Xiaobin Hu, Xu Peng, Donghao Luo et al.

On Characterizing the Trade-off in Invariant Representation Learning

Vishnu Boddeti, Sepehr Dehdashtian, Bashir Sadeghi

Move Anything with Layered Scene Diffusion

Jiawei Ren, Mengmeng Xu, Jui-Chieh Wu et al.

Hearing Anything Anywhere

Mason Wang, Ryosuke Sawata, Samuel Clarke et al.

Prediction Error-based Classification for Class-Incremental Learning

Michał Zając, Tinne Tuytelaars, Gido M van de Ven

Offline Multi-Objective Optimization

Ke Xue, Rong-Xi Tan, Xiaobin Huang et al.

Zero-Shot Reinforcement Learning via Function Encoders

Tyler Ingebrand, Amy Zhang, Ufuk Topcu

Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models

Yili Wang, Kaixiong Zhou, Ninghao Liu et al.

Provable Multi-Task Representation Learning by Two-Layer ReLU Neural Networks

Liam Collins, Hamed Hassani, Mahdi Soltanolkotabi et al.

Generalizing across Temporal Domains with Koopman Operators

QIUHAO Zeng, Wei Wang, Fan Zhou et al.

Self-Adaptive Reality-Guided Diffusion for Artifact-Free Super-Resolution

Qingping Zheng, Ling Zheng, Yuanfan Guo et al.

Symmetric Mean-field Langevin Dynamics for Distributional Minimax Problems

Juno Kim, Kakei Yamamoto, Kazusato Oko et al.

RoDLA: Benchmarking the Robustness of Document Layout Analysis Models

Yufan Chen, Jiaming Zhang, Kunyu Peng et al.

Rethinking Generative Large Language Model Evaluation for Semantic Comprehension

Fangyun Wei, Xi Chen, Lin Luo

CVT-xRF: Contrastive In-Voxel Transformer for 3D Consistent Radiance Fields from Sparse Inputs

Yingji Zhong, Lanqing Hong, Zhenguo Li et al.

An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains

George Eskandar

Audio-driven Talking Face Generation with Stabilized Synchronization Loss

Dogucan Yaman, Fevziye Irem Eyiokur Yaman, Leonard Bärmann et al.

Enhanced Fine-Grained Motion Diffusion for Text-Driven Human Motion Synthesis

Dong Wei, Xiaoning Sun, Huaijiang Sun et al.

Harnessing Density Ratios for Online Reinforcement Learning

Philip Amortila, Dylan Foster, Nan Jiang et al.

A Neural-Guided Dynamic Symbolic Network for Exploring Mathematical Expressions from Data

Wenqiang Li, Weijun Li, Lina Yu et al.

Guide-and-Rescale: Self-Guidance Mechanism for Effective Tuning-Free Real Image Editing

Vadim Titov, Madina Khalmatova, Alexandra Ivanova et al.

Light Schrödinger Bridge

Alexander Korotin, Nikita Gushchin, Evgeny Burnaev

Conformal Inductive Graph Neural Networks

Soroush H. Zargarbashi, Aleksandar Bojchevski

Adaptive Advantage-Guided Policy Regularization for Offline Reinforcement Learning

Tenglong Liu, Yang Li, Yixing Lan et al.

CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception

Jiachen Sun, Haizhong Zheng, Qingzhao Zhang et al.

PRES: Toward Scalable Memory-Based Dynamic Graph Neural Networks

Junwei Su, Difan Zou, Chuan Wu

Wavelet Dynamic Selection Network for Inertial Sensor Signal Enhancement

Yifeng Wang, Yi Zhao

Polygonal Unadjusted Langevin Algorithms: Creating stable and efficient adaptive algorithms for neural networks

Dongyoung Lim, Sotirios Sabanis

LQMFormer: Language-aware Query Mask Transformer for Referring Image Segmentation

Nisarg Shah, Vibashan VS, Vishal M. Patel

Effective Video Mirror Detection with Inconsistent Motion Cues

Alex Warren, Ke Xu, Jiaying Lin et al.

A Circuit Domain Generalization Framework for Efficient Logic Synthesis in Chip Design

Zhihai Wang, Lei Chen, Jie Wang et al.

Taylor Videos for Action Recognition

Lei Wang, Xiuyuan Yuan, Tom Gedeon et al.

OpenPSG: Open-set Panoptic Scene Graph Generation via Large Multimodal Models

Zijian Zhou, Zheng Zhu, Holger Caesar et al.

Flattening the Parent Bias: Hierarchical Semantic Segmentation in the Poincaré Ball

Simon Weber, Barış Zöngür, Nikita Araslanov et al.

Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning

Authors: Jiang-Tian Zhai, Xialei Liu, Lu Yu et al.

ContextSeg: Sketch Semantic Segmentation by Querying the Context with Attention

Jiawei Wang, Changjian Li

Multi-Fidelity Residual Neural Processes for Scalable Surrogate Modeling

Brooks(Ruijia) Niu, Dongxia Wu, Kai Kim et al.

MAFA: Managing False Negatives for Vision-Language Pre-training

Jaeseok Byun, Dohoon Kim, Taesup Moon

FlashEval: Towards Fast and Accurate Evaluation of Text-to-image Diffusion Generative Models

LIn Zhao, Tianchen Zhao, Zinan Lin et al.

Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models

Luo Jiayun, Siddhesh Khandelwal, Leonid Sigal et al.

SRFormer: Text Detection Transformer with Incorporated Segmentation and Regression

Qingwen Bu, Sungrae Park, Minsoo Khang et al.

Self-Supervised High Dynamic Range Imaging with Multi-Exposure Images in Dynamic Scenes

Zhilu Zhang, Haoyu Wang, Shuai Liu et al.

Community-Invariant Graph Contrastive Learning

Shiyin Tan, Dongyuan Li, Renhe Jiang et al.

SAPG: Split and Aggregate Policy Gradients

Jayesh Singla, Ananye Agarwal, Deepak Pathak

SAMFusion: Sensor-Adaptive Multimodal Fusion for 3D Object Detection in Adverse Weather

Edoardo Palladin, Roland Dietze, Praveen Narayanan et al.

TiNO-Edit: Timestep and Noise Optimization for Robust Diffusion-Based Image Editing

Sherry X. Chen, Yaron Vaxman, Elad Ben Baruch et al.

Identifiability of Direct Effects from Summary Causal Graphs

Simon Ferreira, Charles Assaad

CuVLER: Enhanced Unsupervised Object Discoveries through Exhaustive Self-Supervised Transformers

Shahaf Arica, Or Rubin, Sapir Gershov et al.

In-context Exploration-Exploitation for Reinforcement Learning

Zhenwen Dai, Federico Tomasi, Sina Ghiassian

Sign is Not a Remedy: Multiset-to-Multiset Message Passing for Learning on Heterophilic Graphs

Langzhang Liang, Sunwoo Kim, Kijung Shin et al.

Turbo: Informativity-Driven Acceleration Plug-In for Vision-Language Large Models

Chen Ju, Haicheng Wang, Haozhe Cheng et al.

Representing Part-Whole Hierarchies in Foundation Models by Learning Localizability Composability and Decomposability from Anatomy via Self Supervision

Mohammad Reza Hosseinzadeh Taher, Michael Gotway, Jianming Liang

Rethinking Features-Fused-Pyramid-Neck for Object Detection

Hulin Li

Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization

Feihu Huang

Beyond Prototypes: Semantic Anchor Regularization for Better Representation Learning

Yanqi Ge, Qiang Nie, Ye Huang et al.

SeMoLi: What Moves Together Belongs Together

Jenny Seidenschwarz, Aljoša Ošep, Francesco Ferroni et al.

Retrieval-Augmented Score Distillation for Text-to-3D Generation

Junyoung Seo, Susung Hong, Wooseok Jang et al.

Non-convex Stochastic Composite Optimization with Polyak Momentum

Yuan Gao, Anton Rodomanov, Sebastian Stich

Performative Federated Learning: A Solution to Model-Dependent and Heterogeneous Distribution Shifts

Kun Jin, Tongxin Yin, Zhongzhu Chen et al.

HYPO: Hyperspherical Out-Of-Distribution Generalization

Haoyue Bai, Yifei Ming, Julian Katz-Samuels et al.

Editable Image Elements for Controllable Synthesis

Jiteng Mu, Michael Gharbi, Richard Zhang et al.

Towards More Unified In-context Visual Understanding

Dianmo Sheng, Dongdong Chen, Zhentao Tan et al.

An Efficient Tester-Learner for Halfspaces

Aravind Gollakota, Adam Klivans, Konstantinos Stavropoulos et al.

FedWon: Triumphing Multi-domain Federated Learning Without Normalization

Weiming Zhuang, Lingjuan Lyu

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

Jialu Zhang, Xiaoying Yang, Wentao He et al.

SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field

Ru Li, Jia Liu, Guanghui Liu et al.

3D Multi-frame Fusion for Video Stabilization

Zhan Peng, Xinyi Ye, Weiyue Zhao et al.

Enhancing Ensemble Clustering with Adaptive High-Order Topological Weights

Jiaxuan Xu, Taiyong Li, Lei Duan

Neural Causal Abstractions

Kevin Xia, Elias Bareinboim

Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models

Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

Recurrent Distance Filtering for Graph Representation Learning

Yuhui Ding, Antonio Orvieto, Bobby He et al.

Every Pixel Has its Moments: Ultra-High-Resolution Unpaired Image-to-Image Translation via Dense Normalization

Ming-Yang Ho, Che-Ming Wu, Min-Sheng Wu et al.

AdapEdit: Spatio-Temporal Guided Adaptive Editing Algorithm for Text-Based Continuity-Sensitive Image Editing

Zhiyuan Ma, Guoli Jia, Bowen Zhou

Label-Efficient Few-Shot Semantic Segmentation with Unsupervised Meta-Training

Jianwu Li, Kaiyue Shi, Guo-Sen Xie et al.

GradTree: Learning Axis-Aligned Decision Trees with Gradient Descent

DualBEV: Unifying Dual View Transformation with Probabilistic Correspondences

Peidong Li, Wancheng Shen, Qihao Huang et al.

Leveraging Near-Field Lighting for Monocular Depth Estimation from Endoscopy Videos

Akshay Paruchuri, Samuel Ehrenstein, Shuxian Wang et al.

Measuring Vision-Language STEM Skills of Neural Models

Jianhao Shen, Ye Yuan, Srbuhi Mirzoyan et al.

Teddy: Efficient Large-Scale Dataset Distillation via Taylor-Approximated Matching

Ruonan Yu, Songhua Liu, Jingwen Ye et al.

Representing Topological Self-Similarity Using Fractal Feature Maps for Accurate Segmentation of Tubular Structures

Jiaxing Huang, Yanfeng Zhou, Yaoru Luo et al.

Improving Feature Stability during Upsampling -- Spectral Artifacts and the Importance of Spatial Context

Shashank Agnihotri, Julia Grabinski, Margret Keuper

Parameterized Approximation Algorithms for Sum of Radii Clustering and Variants

Xianrun Chen, Dachuan Xu, Yicheng Xu et al.

ChEX: Interactive Localization and Region Description in Chest X-rays

Philip Müller, Georgios Kaissis, Daniel Rueckert

How to Train the Teacher Model for Effective Knowledge Distillation

Shayan Mohajer Hamidi, Xizhen Deng, Renhao Tan et al.

Attacking Perceptual Similarity Metrics

Abhijay Ghildyal, Feng Liu

OHTA: One-shot Hand Avatar via Data-driven Implicit Priors

Xiaozheng Zheng, Chao Wen, Zhuo Su et al.

Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering

Zhaohe Liao, Jiangtong Li, Li Niu et al.