Most Cited 2024 "pathology severity control" Papers

Thermal3D-GS: Physics-induced 3D Gaussians for Thermal Infrared Novel-view Synthesis

Qian Chen, Shihao Shu, Xiangzhi Bai

Gaussian Shadow Casting for Neural Characters

Luis Bolanos, Shih-Yang Su, Helge Rhodin

Beyond MOT: Semantic Multi-Object Tracking

Yunhao Li, Qin Li, Hao Wang et al.

Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages

Wanru Zhao, Yihong Chen, Royson Lee et al.

History Matters: Temporal Knowledge Editing in Large Language Model

Xunjian Yin, Jin Jiang, Liming Yang et al.

Select and Distill: Selective Dual-Teacher Knowledge Transfer for Continual Learning on Vision-Language Models

Yu-Chu Yu, Chi-Pin Huang, Jr-Jen Chen et al.

SurfPro: Functional Protein Design Based on Continuous Surface

Zhenqiao Song, Tinglin Huang, Lei Li et al.

Harnessing the Power of Neural Operators with Automatically Encoded Conservation Laws

Ning Liu, Yiming Fan, Xianyi Zeng et al.

LookupViT: Compressing visual information to a limited number of tokens

Rajat Koner, Gagan Jain, Sujoy Paul et al.

ODM: A Text-Image Further Alignment Pre-training Approach for Scene Text Detection and Spotting

Chen Duan, Pei Fu, Shan Guo et al.

The Hard Positive Truth about Vision-Language Compositionality

Amita Kamath, Cheng-Yu Hsieh, Kai-Wei Chang et al.

DiffEnc: Variational Diffusion with a Learned Encoder

Beatrix M. G. Nielsen, Anders Christensen, Andrea Dittadi et al.

LoCoCo: Dropping In Convolutions for Long Context Compression

Ruisi Cai, Yuandong Tian, Zhangyang “Atlas” Wang et al.

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation

Luis Li, Hubert P. H. Shum, Toby P Breckon

EMIE-MAP: Large-Scale Road Surface Reconstruction Based on Explicit Mesh and Implicit Encoding

Wenhua Wu, Qi Wang, Guangming Wang et al.

CSL: Class-Agnostic Structure-Constrained Learning for Segmentation including the Unseen

Hao Zhang, Fang Li, Lu Qi et al.

Masked Completion via Structured Diffusion with White-Box Transformers

Druv Pai, Sam Buchanan, Ziyang Wu et al.

Teach CLIP to Develop a Number Sense for Ordinal Regression

Yao DU, Qiang Zhai, Weihang Dai et al.

Adversarial Score Distillation: When score distillation meets GAN

Min Wei, Jingkai Zhou, Junyao Sun et al.

TimeLens-XL: Real-time Event-based Video Frame Interpolation with Large Motion

Shi Guo, Yutian Chen, Tianfan Xue et al.

DailyDVS-200: A Comprehensive Benchmark Dataset for Event-Based Action Recognition

Qi Wang, Zhou Xu, Yuming Lin et al.

Robustifying State-space Models for Long Sequences via Approximate Diagonalization

Annan Yu, Arnur Nigmetov, Dmitriy Morozov et al.

DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery

Yixuan Zhu, Ao Li, Yansong Tang et al.

FRIH: Fine-Grained Region-Aware Image Harmonization

Jinlong Peng, Zekun Luo, Liang Liu et al.

Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation

Shihao Zhao, Shaozhe Hao, Bojia Zi et al.

Image Demoireing in RAW and sRGB Domains

Shuning Xu, Binbin Song, Xiangyu Chen et al.

Multimarginal Generative Modeling with Stochastic Interpolants

Michael Albergo, Nicholas Boffi, Michael Lindsey et al.

Towards Improved Proxy-Based Deep Metric Learning via Data-Augmented Domain Adaptation

Li Ren, Chen Chen, Liqiang Wang et al.

SURER: Structure-Adaptive Unified Graph Neural Network for Multi-View Clustering

Jing Wang, Songhe Feng, Gengyu Lyu et al.

Combating Data Imbalances in Federated Semi-supervised Learning with Dual Regulators

Sikai Bai, Shuaicheng Li, Weiming Zhuang et al.

PKU-DyMVHumans: A Multi-View Video Benchmark for High-Fidelity Dynamic Human Modeling

Xiaoyun Zheng, Liwei Liao, Xufeng Li et al.

AV2AV: Direct Audio-Visual Speech to Audio-Visual Speech Translation with Unified Audio-Visual Speech Representation

Jeongsoo Choi, Se Jin Park, Minsu Kim et al.

Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees

Yibo Wang, Wenhao Yang, Wei Jiang et al.

Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI

Chong Wang, Lanqing Guo, Yufei Wang et al.

Auto-GAS: Automated Proxy Discovery for Training-free Generative Architecture Search

Lujun Li, Haosen SUN, Shiwen Li et al.

BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference

Siqi Kou, Lei Gan, Dequan Wang et al.

Self-Supervised Multi-Modal Knowledge Graph Contrastive Hashing for Cross-Modal Search

Meiyu Liang, Junping Du, Zhengyang Liang et al.

Keypoint-based Progressive Chain-of-Thought Distillation for LLMs

Kaituo Feng, Changsheng Li, Xiaolu Zhang et al.

A Comprehensive Augmentation Framework for Anomaly Detection

Lin Jiang, Yaping Yan

What Matters to You? Towards Visual Representation Alignment for Robot Learning

Thomas Tian, Chenfeng Xu, Masayoshi Tomizuka et al.

Diffusion Bridges for 3D Point Cloud Denoising

Mathias Vogel, Keisuke Tateno, Marc Pollefeys et al.

Make Me a BNN: A Simple Strategy for Estimating Bayesian Uncertainty from Pre-trained Models

Gianni Franchi, Olivier Laurent, Maxence Leguéry et al.

IS-DARTS: Stabilizing DARTS through Precise Measurement on Candidate Importance

Hongyi He, Longjun Liu, Haonan Zhang et al.

Close, But Not There: Boosting Geographic Distance Sensitivity in Visual Place Recognition

Sergio Izquierdo, Javier Civera

On Differentially Private Federated Linear Contextual Bandits

Xingyu Zhou, Sayak Ray Chowdhury

NeRF Director: Revisiting View Selection in Neural Volume Rendering

Wenhui Xiao, Rodrigo Santa Cruz, David Ahmedt-Aristizabal et al.

Non-negative Contrastive Learning

Yifei Wang, Qi Zhang, Yaoyu Guo et al.

Transfer and Alignment Network for Generalized Category Discovery

Wenbin An, Feng Tian, Wenkai Shi et al.

InNeRF360: Text-Guided 3D-Consistent Object Inpainting on 360-degree Neural Radiance Fields

Dongqing Wang, Tong Zhang, Alaa Abboud et al.

Multiple View Geometry Transformers for 3D Human Pose Estimation

Ziwei Liao, jialiang zhu, Chunyu Wang et al.

TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling

Jun Li, Zedong Zhang, Jian Yang

DualAD: Disentangling the Dynamic and Static World for End-to-End Driving

Simon Doll, Niklas Hanselmann, Lukas Schneider et al.

Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts

Onur Celik, Aleksandar Taranovic, Gerhard Neumann

Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3)

Tsu-Ching Hsiao, Hao-Wei Chen, Hsuan-Kung Yang et al.

ImageNet-D: Benchmarking Neural Network Robustness on Diffusion Synthetic Object

Chenshuang Zhang, Fei Pan, Junmo Kim et al.

Gaussian Mixture Proposals with Pull-Push Learning Scheme to Capture Diverse Events for Weakly Supervised Temporal Video Grounding

Exploring Vision Transformers for 3D Human Motion-Language Models with Motion Patches

Qing Yu, Mikihiro Tanaka, Kent Fujiwara

Wired Perspectives: Multi-View Wire Art Embraces Generative AI

Zhiyu Qu, LAN YANG, Honggang Zhang et al.

Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training

Yipeng Gao, Zeyu Wang, Wei-Shi Zheng et al.

CoT3DRef: Chain-of-Thoughts Data-Efficient 3D Visual Grounding

eslam Abdelrahman, Mohamed Ayman Mohamed, Mahmoud Ahmed et al.

Truly No-Regret Learning in Constrained MDPs

Adrian Müller, Pragnya Alatur, Volkan Cevher et al.

Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective

Ming Zhong, Chenxin An, Weizhu Chen et al.

Visual Concept Connectome (VCC): Open World Concept Discovery and their Interlayer Connections in Deep Models

Matthew Kowal, Richard P. Wildes, Kosta Derpanis

DART: Implicit Doppler Tomography for Radar Novel View Synthesis

Tianshu Huang, John Miller, Akarsh Prabhakara et al.

E2HQV: High-Quality Video Generation from Event Camera via Theory-Inspired Model-Aided Deep Learning

Qiang Qu, Yiran Shen, Xiaoming Chen et al.

PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation

Zhenyu Li, Shariq Farooq Bhat, Peter Wonka

A Simple Background Augmentation Method for Object Detection with Diffusion Model

YUHANG LI, Xin Dong, Chen Chen et al.

Joint Demosaicing and Denoising for Spike Camera

Yanchen Dong, Ruiqin Xiong, Jing Zhao et al.

What How and When Should Object Detectors Update in Continually Changing Test Domains?

Jayeon Yoo, Dongkwan Lee, Inseop Chung et al.

Sliced Wasserstein Estimation with Control Variates

Khai Nguyen, Nhat Ho

Programmable Motion Generation for Open-Set Motion Control Tasks

Hanchao Liu, Xiaohang Zhan, Shaoli Huang et al.

Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning

Chenyi Jiang, Haofeng Zhang

In-Context Learning Agents Are Asymmetric Belief Updaters

Johannes A. Schubert, Akshay Kumar Jagadish, Marcel Binz et al.

$H$-Consistency Guarantees for Regression

Anqi Mao, Mehryar Mohri, Yutao Zhong

KD-DETR: Knowledge Distillation for Detection Transformer with Consistent Distillation Points Sampling

Yu Wang, Xin Li, Shengzhao Wen et al.

TCLC-GS: Tightly Coupled LiDAR-Camera Gaussian Splatting for Autonomous Driving

Cheng Zhao, su sun, Ruoyu Wang et al.

Grounded Object-Centric Learning

Avinash Kori, Francesco Locatello, Fabio De Sousa Ribeiro et al.

Interactive3D: Create What You Want by Interactive 3D Generation

Shaocong Dong, Lihe Ding, Zhanpeng Huang et al.

LDP: Language-driven Dual-Pixel Image Defocus Deblurring Network

Hao Yang, Liyuan Pan, Yan Yang et al.

Commonsense Prototype for Outdoor Unsupervised 3D Object Detection

Hai Wu, Shijia Zhao, Xun Huang et al.

SURE: SUrvey REcipes for building reliable and robust deep networks

Yuting Li, Yingyi Chen, Xuanlong Yu et al.

Language Models Represent Beliefs of Self and Others

Wentao Zhu, Zhining Zhang, Yizhou Wang

RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies

Hao Cheng, Qingsong Wen, Yang Liu et al.

Towards Efficient and Effective Text-to-Video Retrieval with Coarse-to-Fine Visual Representation Learning

Kaibin Tian, Yanhua Cheng, Yi Liu et al.

Neural Spectral Methods: Self-supervised learning in the spectral domain

Yiheng Du, Nithin Chalapathi, Aditi Krishnapriyan

The Audio-Visual Conversational Graph: From an Egocentric-Exocentric Perspective

Wenqi Jia, Miao Liu, Hao Jiang et al.

DiffSCI: Zero-Shot Snapshot Compressive Imaging via Iterative Spectral Diffusion Model

Zhenghao Pan, Haijin Zeng, Jiezhang Cao et al.

Generating Content for HDR Deghosting from Frequency View

Tao Hu, Qingsen Yan, Yuankai Qi et al.

TapMo: Shape-aware Motion Generation of Skeleton-free Characters

Jiaxu Zhang, Shaoli Huang, Zhigang Tu et al.

TransCAD: A Hierarchical Transformer for CAD Sequence Inference from Point Clouds

Dupont Elona, Kseniya Cherenkova, Dimitrios Mallis et al.

Unlocking Pre-trained Image Backbones for Semantic Image Synthesis

Tariq Berrada, Jakob Verbeek, camille couprie et al.

InstructDET: Diversifying Referring Object Detection with Generalized Instructions

Ronghao Dang, Jiangyan Feng, Haodong Zhang et al.

CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations

Jules Berman, Benjamin Peherstorfer

SLICE: Stabilized LIME for Consistent Explanations for Image Classification

Revoti Prasad Bora, Kiran Raja, Philipp Terhörst et al.

Towards Detailed Text-to-Motion Synthesis via Basic-to-Advanced Hierarchical Diffusion Model

Zhenyu Xie, Yang Wu, Xuehao Gao et al.

I Can't Believe It's Not Scene Flow!

Ishan Khatri, Kyle Vedder, Neehar Peri et al.

Characteristic Guidance: Non-linear Correction for Diffusion Model at Large Guidance Scale

Candi Zheng, Yuan LAN

Towards Robust Fidelity for Evaluating Explainability of Graph Neural Networks

Xu Zheng, Farhad Shirani, Tianchun Wang et al.

Neural Diffusion Models

Grigory Bartosh, Dmitry Vetrov, Christian Andersson Naesseth

Token Transformation Matters: Towards Faithful Post-hoc Explanation for Vision Transformer

Junyi Wu, Bin Duan, Weitai Kang et al.

Robust and Conjugate Gaussian Process Regression

Matias Altamirano, Francois-Xavier Briol, Jeremias Knoblauch

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

Maitreya Patel, Tejas Gokhale, Chitta Baral et al.

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes

Zhiyuan Yu, Zheng Qin, lintao zheng et al.

Compositional Generative Inverse Design

Tailin Wu, Takashi Maruyama, Long Wei et al.

Content-Style Decoupling for Unsupervised Makeup Transfer without Generating Pseudo Ground Truth

Zhaoyang Sun, Shengwu Xiong, Yaxiong Chen et al.

Learning Encodings for Constructive Neural Combinatorial Optimization Needs to Regret

Rui Sun, Zhi Zheng, Zhenkun Wang

Learning 3D Particle-based Simulators from RGB-D Videos

William Whitney, Tatiana Lopez-Guevara, Tobias Pfaff et al.

Understanding Unimodal Bias in Multimodal Deep Linear Networks

Yedi Zhang, Peter Latham, Andrew Saxe

ScanFormer: Referring Expression Comprehension by Iteratively Scanning

Wei Su, Peihan Miao, Huanzhang Dou et al.

FrameQuant: Flexible Low-Bit Quantization for Transformers

Harshavardhan Adepu, Zhanpeng Zeng, Li Zhang et al.

ProxyDet: Synthesizing Proxy Novel Classes via Classwise Mixup for Open Vocabulary Object Detection

Joonhyun Jeong, Geondo Park, Jayeon Yoo et al.

Inverse Rendering of Glossy Objects via the Neural Plenoptic Function and Radiance Fields

Haoyuan Wang, Wenbo Hu, Lei Zhu et al.

Position: A Call to Action for a Human-Centered AutoML Paradigm

Marius Lindauer, Florian Karl, Anne Klier et al.

Online Cascade Learning for Efficient Inference over Streams

Lunyiu Nie, Zhimin Ding, Erdong Hu et al.

PRISE: LLM-Style Sequence Compression for Learning Temporal Action Abstractions in Control

Ruijie Zheng, Ching-An Cheng, Hal Daumé et al.

ViewFusion: Towards Multi-View Consistency via Interpolated Denoising

Xianghui Yang, Gil Avraham, Yan Zuo et al.

End-to-End Neuro-Symbolic Reinforcement Learning with Textual Explanations

Lirui Luo, Guoxi Zhang, Hongming Xu et al.

DDMI: Domain-agnostic Latent Diffusion Models for Synthesizing High-Quality Implicit Neural Representations

Dogyun Park, Sihyeon Kim, Sojin Lee et al.

Video Prediction by Modeling Videos as Continuous Multi-Dimensional Processes

Gaurav Shrivastava, Abhinav Shrivastava

Guess The Unseen: Dynamic 3D Scene Reconstruction from Partial 2D Glimpses

Inhee Lee, Byungjun Kim, Hanbyul Joo

Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond

Kyriakos Axiotis, Vincent Cohen-Addad, Monika Henzinger et al.

MoE-DiffIR: Task-customized Diffusion Priors for Universal Compressed Image Restoration

Yulin Ren, Xin Li, Bingchen Li et al.

MolTailor: Tailoring Chemical Molecular Representation to Specific Tasks via Text Prompts

Haoqiang Guo, Sendong Zhao, Haochun Wang et al.

A Geometric Explanation of the Likelihood OOD Detection Paradox

Hamidreza Kamkari, Brendan Ross, Jesse Cresswell et al.

AdaNAT: Exploring Adaptive Policy for Token-Based Image Generation

Zanlin Ni, Yulin Wang, Renping Zhou et al.

Label-Noise Robust Diffusion Models

Byeonghu Na, Yeongmin Kim, HeeSun Bae et al.

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

Lennart Bastian, Yizheng Xie, Nassir Navab et al.

Factorized Explainer for Graph Neural Networks

Jointly-Learned Exit and Inference for a Dynamic Neural Network

Florence Regol, Joud Chataoui, Mark Coates

MCPNet: An Interpretable Classifier via Multi-Level Concept Prototypes

Bor Shiun Wang, Chien-Yi Wang, Wei-Chen Chiu

SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection

Yun Zhu, Le Hui, Yaqi Shen et al.

S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic

Safa Messaoud, Billel Mokeddem, Zhenghai Xue et al.

How to Handle Sketch-Abstraction in Sketch-Based Image Retrieval?

Subhadeep Koley, Ayan Kumar Bhunia, Aneeshan Sain et al.

Iterated Learning Improves Compositionality in Large Vision-Language Models

Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi et al.

Frozen Feature Augmentation for Few-Shot Image Classification

Andreas Bär, Neil Houlsby, Mostafa Dehghani et al.

SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis

Hanrong Ye, Jason Wen Yong Kuen, Qing Liu et al.

Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation

Tien Manh Luong, Khai Nguyen, Nhat Ho et al.

Efficient Meshflow and Optical Flow Estimation from Event Cameras

Xinglong Luo, Ao Luo, Zhengning Wang et al.

Self-Interpretable Graph Learning with Sufficient and Necessary Explanations

Jiale Deng, Yanyan Shen

Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection

Taeheon Kim, Sebin Shin, Youngjoon Yu et al.

Quantum Implicit Neural Representations

Jiaming Zhao, Wenbo Qiao, Peng Zhang et al.

Binarized Low-light Raw Video Enhancement

Gengchen Zhang, Yulun Zhang, Xin Yuan et al.

Learning Optimal Advantage from Preferences and Mistaking It for Reward

W Bradley Knox, Stephane Hatgis-Kessell, Sigurdur Orn Adalgeirsson et al.

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling

Siyuan Li, Zedong Wang, Zicheng Liu et al.

En3D: An Enhanced Generative Model for Sculpting 3D Humans from 2D Synthetic Data

Yifang Men, Biwen Lei, Yuan Yao et al.

Reinforcement Learning Friendly Vision-Language Model for Minecraft

Haobin Jiang, Junpeng Yue, Hao Luo et al.

A Video is Worth 256 Bases: Spatial-Temporal Expectation-Maximization Inversion for Zero-Shot Video Editing

Li Maomao, Yu Li, Tianyu Yang et al.

BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation

Yunhao Ge, Yihe Tang, Jiashu Xu et al.

Neural Clustering based Visual Representation Learning

Guikun Chen, Xia Li, Yi Yang et al.

A Noisy Elephant in the Room: Is Your Out-of-Distribution Detector Robust to Label Noise?

Galadrielle Humblot-Renaux, Sergio Escalera, Thomas B. Moeslund

Context-Guided Diffusion for Out-of-Distribution Molecular and Protein Design

Leo Klarner, Tim G. J. Rudner, Garrett Morris et al.

Diffusion in Diffusion: Cyclic One-Way Diffusion for Text-Vision-Conditioned Generation

Ruoyu Wang, Yongqi Yang, Zhihao Qian et al.

SAFNet: Selective Alignment Fusion Network for Efficient HDR Imaging

Lingtong Kong, Bo Li, Yike Xiong et al.

Borda Regret Minimization for Generalized Linear Dueling Bandits

Yue Wu, Tao Jin, Qiwei Di et al.

Hebbian Learning based Orthogonal Projection for Continual Learning of Spiking Neural Networks

Mingqing Xiao, Qingyan Meng, Zongpeng Zhang et al.

On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods

Montgomery Bohde, Meng Liu, Alexandra Saxton et al.

Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning

Wenhai Wan, Shao-Yuan Li, Xinrui Wang et al.

Learning Camouflaged Object Detection from Noisy Pseudo Label

Jin Zhang, Ruiheng Zhang, Yanjiao Shi et al.

HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning

Shengchao Hu, Ziqing Fan, Li Shen et al.

UniProcessor: A Text-induced Unified Low-level Image Processor

Huiyu Duan, Xiongkuo Min, Sijing Wu et al.

Generative Unlearning for Any Identity

Juwon Seo, Sung-Hoon Lee, Tae-Young Lee et al.

Complementing Event Streams and RGB Frames for Hand Mesh Reconstruction

Jianping Jiang, xinyu zhou, Bingxuan Wang et al.

Table of Contents

Pengfei Hu, Zhenrong Zhang, Jianshu Zhang et al.

VEON: Vocabulary-Enhanced Occupancy Prediction

Jilai Zheng, Pin Tang, Zhongdao Wang et al.

Dynamic Cues-Assisted Transformer for Robust Point Cloud Registration

Hong Chen, Pei Yan, sihe xiang et al.

A Simple Latent Diffusion Approach for Panoptic Segmentation and Mask Inpainting

Wouter Van Gansbeke, Bert De Brabandere

PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts

Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess et al.

ESM All-Atom: Multi-Scale Protein Language Model for Unified Molecular Modeling

Kangjie Zheng, Siyu Long, Tianyu Lu et al.

MH-pFLID: Model Heterogeneous personalized Federated Learning via Injection and Distillation for Medical Data Analysis

Luyuan Xie, Manqing Lin, Tianyu Luan et al.

Accelerating Image Generation with Sub-path Linear Approximation Model

Chen Xu, Tianhui Song, Weixin Feng et al.

The Need for Speed: Pruning Transformers with One Recipe

Samir Khaki, Konstantinos Plataniotis

Chat-Edit-3D: Interactive 3D Scene Editing via Text Prompts

Shuangkang Fang, Yufeng Wang, Yi-Hsuan Tsai et al.

MeshSegmenter: Zero-Shot Mesh Segmentation via Texture Synthesis

ziming zhong, Yanyu Xu, Jing Li et al.

CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems

Jie Sun, Zhao Ying Ding, Xiaoshuang Chen et al.

CLIP-Guided Generative Networks for Transferable Targeted Adversarial Attacks

Hao Fang, Jiawei Kong, Bin Chen et al.

PIN: Positional Insert Unlocks Object Localisation Abilities in VLMs

Michael Dorkenwald, Nimrod Barazani, Cees G. M. Snoek et al.

Partial-to-Partial Shape Matching with Geometric Consistency

Viktoria Ehm, Maolin Gao, Paul Roetzer et al.

Memory-Consistent Neural Networks for Imitation Learning

Kaustubh Sridhar, Souradeep Dutta, Dinesh Jayaraman et al.

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning

Yi Cheng, Renjun Hu, Haochao Ying et al.

Learning to Make Adherence-aware Advice

Guanting Chen, Xiaocheng Li, Chunlin Sun et al.

Simplicial Representation Learning with Neural $k$-Forms

Kelly Maggs, Celia Hacker, Bastian Rieck

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer

Cheng Tan, Zhangyang Gao, Lirong Wu et al.

Maximum Likelihood Estimation is All You Need for Well-Specified Covariate Shift

Jiawei Ge, Shange Tang, Jianqing Fan et al.

HiLo: Detailed and Robust 3D Clothed Human Reconstruction with High-and Low-Frequency Information of Parametric Models

Yifan Yang, Dong Liu, Shuhai Zhang et al.

Interpretable Deep Clustering for Tabular Data

Jonathan Svirsky, Ofir Lindenbaum

Customization Assistant for Text-to-Image Generation

Yufan Zhou, Ruiyi Zhang, Jiuxiang Gu et al.

UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and Unfavorable Sets

Youngju Na, Woo Jae Kim, Kyu Han et al.

Differentiable Euler Characteristic Transforms for Shape Classification

Ernst Roell, Bastian Rieck

Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation

Yaofo Chen, Shuaicheng Niu, Yaowei Wang et al.

ConsistDreamer: 3D-Consistent 2D Diffusion for High-Fidelity Scene Editing

Jun-Kun Chen, Samuel Rota Bulò, Norman Müller et al.

SEGIC: Unleashing the Emergent Correspondence for In-Context Segmentation

Lingchen Meng, Shiyi Lan, Hengduo Li et al.

Learning Linear Block Error Correction Codes

Yoni Choukroun, Lior Wolf

Dissecting Sample Hardness: A Fine-Grained Analysis of Hardness Characterization Methods for Data-Centric AI

Nabeel Seedat, Fergus Imrie, Mihaela van der Schaar

Graph Neural PDE Solvers with Conservation and Similarity-Equivariance

Masanobu Horie, NAOTO MITSUME

Instance-Aware Group Quantization for Vision Transformers

Jaehyeon Moon, Dohyung Kim, Jun Yong Cheon et al.

Revisit and Outstrip Entity Alignment: A Perspective of Generative Models

Lingbing Guo, Zhuo Chen, Jiaoyan Chen et al.

A Unified Framework for Microscopy Defocus Deblur with Multi-Pyramid Transformer and Contrastive Learning

Yuelin Zhang, Pengyu Zheng, Wanquan Yan et al.

The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?

Qinyu Zhao, Ming Xu, Kartik Gupta et al.

Improving Text-guided Object Inpainting with Semantic Pre-inpainting

Yifu Chen, Jingwen Chen, Yingwei Pan et al.

Data-Free Generalized Zero-Shot Learning

Bowen Tang, Jing Zhang, Yan Long et al.