Most Cited 2024 "gaussian equivalent conjecture" Papers

FinePOSE: Fine-Grained Prompt-Driven 3D Human Pose Estimation via Diffusion Models

Jinglin Xu, Yijie Guo, Yuxin Peng

Multimodal Prototyping for cancer survival prediction

Andrew Song, Richard Chen, Guillaume Jaume et al.

Devignet: High-Resolution Vignetting Removal via a Dual Aggregated Fusion Transformer with Adaptive Channel Expansion

Shenghong Luo, Xuhang Chen, Weiwen Chen et al.

TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection

Matic Fučka, Vitjan Zavrtanik, Danijel Skocaj

ViLa-MIL: Dual-scale Vision-Language Multiple Instance Learning for Whole Slide Image Classification

Jiangbo Shi, Chen Li, Tieliang Gong et al.

FlashFFTConv: Efficient Convolutions for Long Sequences with Tensor Cores

Dan Fu, Hermann Kumbong, Eric Nguyen et al.

Revisiting Single Image Reflection Removal In the Wild

Yurui Zhu, Bo Li, Xueyang Fu et al.

Translate Meanings, Not Just Words: IdiomKB’s Role in Optimizing Idiomatic Translation with Language Models

Shuang Li, Jiangjie Chen, Siyu Yuan et al.

Generalized Neural Collapse for a Large Number of Classes

Jiachen Jiang, Jinxin Zhou, Peng Wang et al.

Taming Mode Collapse in Score Distillation for Text-to-3D Generation

Peihao Wang, Dejia Xu, Zhiwen Fan et al.

NoiseCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions in Diffusion Models

Yusuf Dalva, Pinar Yanardag

Fourier Transporter: Bi-Equivariant Robotic Manipulation in 3D

Haojie Huang, Owen Howell, Dian Wang et al.

XKD: Cross-Modal Knowledge Distillation with Domain Alignment for Video Representation Learning

Pritam Sarkar, Ali Etemad

AiOS: All-in-One-Stage Expressive Human Pose and Shape Estimation

Qingping SUN, Yanjun Wang, Ailing Zeng et al.

Gradient Reweighting: Towards Imbalanced Class-Incremental Learning

Jiangpeng He

Learning Occupancy for Monocular 3D Object Detection

Liang Peng, Junkai Xu, Haoran Cheng et al.

Controllable Mind Visual Diffusion Model

Bohan Zeng, Shanglin Li, Xuhui Liu et al.

Decoupling Common and Unique Representations for Multimodal Self-supervised Learning

Yi Wang, Conrad M Albrecht, Nassim Ait Ali Braham et al.

TAIL: Task-specific Adapters for Imitation Learning with Large Pretrained Models

Zuxin Liu, Jesse Zhang, Kavosh Asadi et al.

DuPL: Dual Student with Trustworthy Progressive Learning for Robust Weakly Supervised Semantic Segmentation

Yuanchen Wu, Xichen Ye, KequanYang et al.

AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction

Kethmi Hirushini Hettige, Jiahao Ji, Shili Xiang et al.

Enhancing Video Super-Resolution via Implicit Resampling-based Alignment

Kai Xu, Ziwei Yu, Xin Wang et al.

Incremental Residual Concept Bottleneck Models

Chenming Shang, Shiji Zhou, Hengyuan Zhang et al.

Text-Driven Image Editing via Learnable Regions

Yuanze Lin, Yi-Wen Chen, Yi-Hsuan Tsai et al.

HIR-Diff: Unsupervised Hyperspectral Image Restoration Via Improved Diffusion Models

Li Pang, Xiangyu Rui, Long Cui et al.

Unbiased Faster R-CNN for Single-source Domain Generalized Object Detection

Yajing Liu, Shijun Zhou, Xiyao Liu et al.

Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization

Guopeng Li, Ming Qian, Gui-Song Xia

6DGS: 6D Pose Estimation from a Single Image and a 3D Gaussian Splatting Model

Matteo Bortolon, Theodoros Tsesmelis, Stuart James et al.

Towards Continual Knowledge Graph Embedding via Incremental Distillation

Jiajun Liu, Ke Wenjun, Peng Wang et al.

Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models

Tanmay Gautam, Youngsuk Park, Hao Zhou et al.

RealCustom: Narrowing Real Text Word for Real-Time Open-Domain Text-to-Image Customization

Mengqi Huang, Zhendong Mao, Mingcong Liu et al.

Multi-modal Instruction Tuned LLMs with Fine-grained Visual Perception

Junwen He, Yifan Wang, Lijun Wang et al.

SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views

Chao Xu, Ang Li, Linghao Chen et al.

SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance

Lukas Hoyer, David Tan, Muhammad Ferjad Naeem et al.

Depth-aware Test-Time Training for Zero-shot Video Object Segmentation

Weihuang Liu, Xi Shen, Haolun Li et al.

Elastic Feature Consolidation For Cold Start Exemplar-Free Incremental Learning

Simone Magistri, Tomaso Trinci, Albin Soutif--Cormerais et al.

Rethinking Channel Dependence for Multivariate Time Series Forecasting: Learning from Leading Indicators

Lifan Zhao, Yanyan Shen

Complete and Efficient Graph Transformers for Crystal Material Property Prediction

Keqiang Yan, Cong Fu, Xiaofeng Qian et al.

STanHop: Sparse Tandem Hopfield Model for Memory-Enhanced Time Series Prediction

Yu-Hsuan Wu, Jerry Hu, Weijian Li et al.

V-DETR: DETR with Vertex Relative Position Encoding for 3D Object Detection

Yichao Shen, Zigang Geng, YUHUI YUAN et al.

Scalable AI Safety via Doubly-Efficient Debate

Jonah Brown-Cohen, Geoffrey Irving, Georgios Piliouras

HomoFormer: Homogenized Transformer for Image Shadow Removal

Jie Xiao, Xueyang Fu, Yurui Zhu et al.

When Do Prompting and Prefix-Tuning Work? A Theory of Capabilities and Limitations

Aleksandar Petrov, Philip Torr, Adel Bibi

OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning

Siddharth Srivastava, Gaurav Sharma

Copyright Traps for Large Language Models

Matthieu Meeus, Igor Shilov, Manuel Faysse et al.

Revisiting the Role of Language Priors in Vision-Language Models

Zhiqiu Lin, Xinyue Chen, Deepak Pathak et al.

Modeling Caption Diversity in Contrastive Vision-Language Pretraining

Samuel Lavoie, Polina Kirichenko, Mark Ibrahim et al.

GLACE: Global Local Accelerated Coordinate Encoding

Fangjinhua Wang, Xudong Jiang, Silvano Galliani et al.

Communication-Efficient Federated Learning with Accelerated Client Gradient

Geeho Kim, Jinkyu Kim, Bohyung Han

MuxServe: Flexible Spatial-Temporal Multiplexing for Multiple LLM Serving

Jiangfei Duan, Runyu Lu, Haojie Duanmu et al.

ZeroShape: Regression-based Zero-shot Shape Reconstruction

Zixuan Huang, Stefan Stojanov, Anh Thai et al.

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation

Liangcai Su, Junwei Pan, Ximei Wang et al.

BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning

Ruyang Liu, Chen Li, Yixiao Ge et al.

Graph Generation with Diffusion Mixture

Jaehyeong Jo, Dongki Kim, Sung Ju Hwang

AutoEval-Video: An Automatic Benchmark for Assessing Large Vision Language Models in Open-Ended Video Question Answering

Xiuyuan Chen, Yuan Lin, Yuchen Zhang et al.

Portrait4D: Learning One-Shot 4D Head Avatar Synthesis using Synthetic Data

Yu Deng, Duomin Wang, Xiaohang Ren et al.

No Prejudice! Fair Federated Graph Neural Networks for Personalized Recommendation

Nimesh Agrawal, Anuj Sirohi, Sandeep Kumar et al.

GalLop: Learning global and local prompts for vision-language models

Marc Lafon, Elias Ramzi, Clément Rambour et al.

Conformal prediction for multi-dimensional time series by ellipsoidal sets

Chen Xu, Hanyang Jiang, Yao Xie

DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception

Yibo Wang, Ruiyuan Gao, Kai Chen et al.

Scissorhands: Scrub Data Influence via Connection Sensitivity in Networks

Jing Wu, Mehrtash Harandi

Learning Diffusion Texture Priors for Image Restoration

Tian Ye, Sixiang Chen, Wenhao Chai et al.

PolyGCL: GRAPH CONTRASTIVE LEARNING via Learnable Spectral Polynomial Filters

Jingyu Chen, Runlin Lei, Zhewei Wei

The Benefits of Reusing Batches for Gradient Descent in Two-Layer Networks: Breaking the Curse of Information and Leap Exponents

Yatin Dandi, Emanuele Troiani, Luca Arnaboldi et al.

Approximating the Shapley Value without Marginal Contributions

Patrick Kolpaczki, Viktor Bengs, Maximilian Muschalik et al.

EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models

Koichi Namekata, Amirmojtaba Sabour, Sanja Fidler et al.

Visual Anagrams: Generating Multi-View Optical Illusions with Diffusion Models

Daniel Geng, Inbum Park, Andrew Owens

SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction

Yang Zhou, Hao Shao, Letian Wang et al.

Benign Overfitting and Grokking in ReLU Networks for XOR Cluster Data

Zhiwei Xu, Yutong Wang, Spencer Frei et al.

Spherical Linear Interpolation and Text-Anchoring for Zero-shot Composed Image Retrieval

Young Kyun Jang, Dat B Huynh, Ashish Shah et al.

MgNO: Efficient Parameterization of Linear Operators via Multigrid

Juncai He, Xinliang Liu, Jinchao Xu

Score-Guided Diffusion for 3D Human Recovery

Anastasis Stathopoulos, Ligong Han, Dimitris N. Metaxas

PanoDiffusion: 360-degree Panorama Outpainting via Diffusion

Tianhao Wu, Chuanxia Zheng, Tat-Jen Cham

Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion?

Zhengyue Zhao, Jinhao Duan, Kaidi Xu et al.

PINNACLE: PINN Adaptive ColLocation and Experimental points selection

Gregory Kang Ruey Lau, Apivich Hemachandra, See-Kiong Ng et al.

Is This the Subspace You Are Looking for? An Interpretability Illusion for Subspace Activation Patching

Aleksandar Makelov, Georg Lange, Atticus Geiger et al.

Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products

Shengjie Luo, Tianlang Chen, Aditi Krishnapriyan

Mitigating Motion Blur in Neural Radiance Fields with Events and Frames

Marco Cannici, Davide Scaramuzza

Can Looped Transformers Learn to Implement Multi-step Gradient Descent for In-context Learning?

Khashayar Gatmiry, Nikunj Saunshi, Sashank J. Reddi et al.

Enhancing Visual Document Understanding with Contrastive Learning in Large Visual-Language Models

Xin Li, Yunfei Wu, Xinghua Jiang et al.

DiffAM: Diffusion-based Adversarial Makeup Transfer for Facial Privacy Protection

Yuhao Sun, Lingyun Yu, Hongtao Xie et al.

TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning

Dongming Wu, Jiahao Chang, Fan Jia et al.

Wear-Any-Way: Manipulable Virtual Try-on via Sparse Correspondence Alignment

Mengting Chen, Xi Chen, Zhonghua Zhai et al.

DreamControl: Control-Based Text-to-3D Generation with 3D Self-Prior

Tianyu Huang, Yihan Zeng, Zhilu Zhang et al.

DAMSDet: Dynamic Adaptive Multispectral Detection Transformer with Competitive Query Selection and Adaptive Feature Fusion

Junjie Guo, Chenqiang Gao, Fangcen liu et al.

GROOT: Learning to Follow Instructions by Watching Gameplay Videos

Shaofei Cai, Bowei Zhang, Zihao Wang et al.

Anomaly Heterogeneity Learning for Open-set Supervised Anomaly Detection

Jiawen Zhu, Choubo Ding, Yu Tian et al.

Multi-Architecture Multi-Expert Diffusion Models

Yunsung Lee, Jin-Young Kim, Hyojun Go et al.

SMooDi: Stylized Motion Diffusion Model

Lei Zhong, Yiming Xie, Varun Jampani et al.

VicTR: Video-conditioned Text Representations for Activity Recognition

Kumara Kahatapitiya, Anurag Arnab, Arsha Nagrani et al.

SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples

Chen Ma, Ningfei Wang, Qi Alfred Chen et al.

Subgoal-based Demonstration Learning for Formal Theorem Proving

Xueliang Zhao, Wenda Li, Lingpeng Kong

Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning

Jinsong Shi, Pan Gao, Jie Qin

TESTAM: A Time-Enhanced Spatio-Temporal Attention Model with Mixture of Experts

Hyunwook Lee, Sungahn Ko

Multi-granularity Correspondence Learning from Long-term Noisy Videos

Yijie Lin, Jie Zhang, Zhenyu Huang et al.

Rethinking the Spatial Inconsistency in Classifier-Free Diffusion Guidance

Dazhong Shen, Guanglu Song, Zeyue Xue et al.

U-mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting

Xiang Ma, Xuemei Li, Lexin Fang et al.

Solving Motion Planning Tasks with a Scalable Generative Model

Yihan Hu, Siqi Chai, Zhening Yang et al.

Weighted Ensemble Models Are Strong Continual Learners

Imad Eddine Marouf, Subhankar Roy, Enzo Tartaglione et al.

How to Configure Good In-Context Sequence for Visual Question Answering

Li Li, Jiawei Peng, huiyi chen et al.

TRIP: Temporal Residual Learning with Image Noise Prior for Image-to-Video Diffusion Models

Zhongwei Zhang, Fuchen Long, Yingwei Pan et al.

Transformers Learn Nonlinear Features In Context: Nonconvex Mean-field Dynamics on the Attention Landscape

Juno Kim, Taiji Suzuki

Prompt Highlighter: Interactive Control for Multi-Modal LLMs

Yuechen Zhang, Shengju Qian, Bohao Peng et al.

Diagnosing and Re-learning for Balanced Multimodal Learning

Yake Wei, Siwei Li, Ruoxuan Feng et al.

Teach LLMs to Phish: Stealing Private Information from Language Models

Ashwinee Panda, Christopher Choquette-Choo, Zhengming Zhang et al.

CLEX: Continuous Length Extrapolation for Large Language Models

Guanzheng Chen, Xin Li, Zaiqiao Meng et al.

Scaling Diffusion Models to Real-World 3D LiDAR Scene Completion

Lucas Nunes, Rodrigo Marcuzzi, Benedikt Mersch et al.

UnO: Unsupervised Occupancy Fields for Perception and Forecasting

Ben Agro, Quinlan Sykora, Sergio Casas et al.

Rethinking Reverse Distillation for Multi-Modal Anomaly Detection

Zhihao Gu, Jiangning Zhang, Liang Liu et al.

PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback

Souradip Chakraborty, Amrit Bedi, Alec Koppel et al.

Grokking as a First Order Phase Transition in Two Layer Networks

Noa Rubin, Inbar Seroussi, Zohar Ringel

R3D-AD: Reconstruction via Diffusion for 3D Anomaly Detection

Zheyuan Zhou, Wang Le, Naiyu Fang et al.

Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening

Yule Duan, Xiao Wu, Haoyu Deng et al.

CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification

Haoran Lai, Qingsong Yao, Zihang Jiang et al.

Federated Adaptive Prompt Tuning for Multi-Domain Collaborative Learning

Shangchao Su, Mingzhao Yang, Bin Li et al.

Adaptive Fusion of Single-View and Multi-View Depth for Autonomous Driving

JunDa Cheng, Wei Yin, Kaixuan Wang et al.

MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning

Authors: Ying Mo, Jian Yang, Jiahao Liu et al.

Multi-view Aggregation Network for Dichotomous Image Segmentation

Qian Yu, Xiaoqi Zhao, Youwei Pang et al.

Sherpa3D: Boosting High-Fidelity Text-to-3D Generation via Coarse 3D Prior

Fangfu Liu, Diankun Wu, Yi Wei et al.

Latent Space Editing in Transformer-Based Flow Matching

Vincent Tao Hu, Wei Zhang, Meng Tang et al.

Hypergraph-enhanced Dual Semi-supervised Graph Classification

Wei Ju, Zhengyang Mao, Siyu Yi et al.

Smooth Tchebycheff Scalarization for Multi-Objective Optimization

Xi Lin, Xiaoyuan Zhang, Zhiyuan Yang et al.

Prompting Segmentation with Sound Is Generalizable Audio-Visual Source Localizer

Yaoting Wang, Liu Weisong, Guangyao Li et al.

AdaRevD: Adaptive Patch Exiting Reversible Decoder Pushes the Limit of Image Deblurring

Xintian Mao, Xiwen Gao, Yan Wang

Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model

Zhicai Wang, Longhui Wei, Tan Wang et al.

Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets

Dominique Beaini, Shenyang(Andy) Huang, Joao Cunha et al.

Unsupervised Universal Image Segmentation

XuDong Wang, Dantong Niu, Xinyang Han et al.

Dynamic Prompt Optimizing for Text-to-Image Generation

Wenyi Mo, Tianyu Zhang, Yalong Bai et al.

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness

Anh-Quan Cao, Angela Dai, Raoul de Charette

GenZI: Zero-Shot 3D Human-Scene Interaction Generation

Lei Li, Angela Dai

MoPE-CLIP: Structured Pruning for Efficient Vision-Language Models with Module-wise Pruning Error Metric

Haokun Lin, Haoli Bai, Zhili Liu et al.

Multi-Modal Latent Space Learning for Chain-of-Thought Reasoning in Language Models

Liqi He, Zuchao Li, Xiantao Cai et al.

MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods

Mara Finkelstein, Markus Freitag

Skip-Attention: Improving Vision Transformers by Paying Less Attention

Shashank Venkataramanan, Amir Ghodrati, Yuki Asano et al.

MathAttack: Attacking Large Language Models towards Math Solving Ability

Zihao Zhou, Qiufeng Wang, Mingyu Jin et al.

HeadStudio: Text to Animatable Head Avatars with 3D Gaussian Splatting

Zhenglin Zhou, Fan Ma, Hehe Fan et al.

Partitioning Message Passing for Graph Fraud Detection

Wei Zhuo, Zemin Liu, Bryan Hooi et al.

FreeMotion: A Unified Framework for Number-free Text-to-Motion Synthesis

Ke Fan, Junshu Tang, Weijian Cao et al.

Contrastive Mean-Shift Learning for Generalized Category Discovery

Sua Choi, Dahyun Kang, Minsu Cho

SafeDreamer: Safe Reinforcement Learning with World Models

Weidong Huang, Jiaming Ji, Chunhe Xia et al.

Deep Variational Incomplete Multi-View Clustering: Exploring Shared Clustering Structures

Gehui Xu, Jie Wen, Chengliang Liu et al.

Potential Based Diffusion Motion Planning

Yunhao Luo, Chen Sun, Josh Tenenbaum et al.

MVD-Fusion: Single-view 3D via Depth-consistent Multi-view Generation

Hanzhe Hu, Zhizhuo Zhou, Varun Jampani et al.

VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation

XuDong Wang, Ishan Misra, Ziyun Zeng et al.

MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization

Zhao Tianchen, Xuefei Ning, Tongcheng Fang et al.

GoMVS: Geometrically Consistent Cost Aggregation for Multi-View Stereo

Jiang Wu, Rui Li, Haofei Xu et al.

On the Trajectory Regularity of ODE-based Diffusion Sampling

Defang Chen, Zhenyu Zhou, Can Wang et al.

Don't trust your eyes: on the (un)reliability of feature visualizations

Robert Geirhos, Roland S. Zimmermann, Blair Bilodeau et al.

Generative Sliced MMD Flows with Riesz Kernels

Johannes Hertrich, Christian Wald, Fabian Altekrüger et al.

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning

Rishub Tamirisa, Chulin Xie, Wenxuan Bao et al.

Time Weaver: A Conditional Time Series Generation Model

Sai Shankar Narasimhan, Shubhankar Agarwal, Oguzhan Akcin et al.

MetaCloak: Preventing Unauthorized Subject-driven Text-to-image Diffusion-based Synthesis via Meta-learning

Yixin Liu, Chenrui Fan, Yutong Dai et al.

ADA-Track: End-to-End Multi-Camera 3D Multi-Object Tracking with Alternating Detection and Association

Shuxiao Ding, Lukas Schneider, Marius Cordts et al.

A Computational Framework for Solving Wasserstein Lagrangian Flows

Kirill Neklyudov, Rob Brekelmans, Alexander Tong et al.

Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset

Shijie Lian, Ziyi Zhang, Hua Li et al.

Exploiting Label Skews in Federated Learning with Model Concatenation

Yiqun Diao, Qinbin Li, Bingsheng He

Robust Node Classification on Graph Data with Graph and Label Noise

Yonghua Zhu, Lei Feng, Zhenyun Deng et al.

RobustSAM: Segment Anything Robustly on Degraded Images

Wei-Ting Chen, Yu Jiet Vong, Sy-Yen Kuo et al.

Alternate Diverse Teaching for Semi-supervised Medical Image Segmentation

Zhen Zhao, Zicheng Wang, Dian Yu et al.

SegPoint: Segment Any Point Cloud via Large Language Model

Shuting He, Henghui Ding, Xudong Jiang et al.

Omni6DPose: A Benchmark and Model for Universal 6D Object Pose Estimation and Tracking

Jiyao Zhang, Weiyao Huang, Bo Peng et al.

ElasticDiffusion: Training-free Arbitrary Size Image Generation through Global-Local Content Separation

Moayed Haji Ali, Guha Balakrishnan, Vicente Ordonez

DifFlow3D: Toward Robust Uncertainty-Aware Scene Flow Estimation with Iterative Diffusion-Based Refinement

Jiuming Liu, Guangming Wang, Weicai Ye et al.

Fully Hyperbolic Convolutional Neural Networks for Computer Vision

Ahmad Bdeir, Kristian Schwethelm, Niels Landwehr

Making RL with Preference-based Feedback Efficient via Randomization

Runzhe Wu, Wen Sun

Multicalibration for Confidence Scoring in LLMs

Gianluca Detommaso, Martin A Bertran, Riccardo Fogliato et al.

FairRAG: Fair Human Generation via Fair Retrieval Augmentation

Robik Shrestha, Yang Zou, Qiuyu Chen et al.

Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video

Shashank Venkataramanan, Mamshad Nayeem Rizve, Joao Carreira et al.

Convolutional Prompting meets Language Models for Continual Learning

Anurag Roy, Riddhiman Moulick, Vinay Verma et al.

Video Question Answering with Procedural Programs

Rohan Choudhury, Koichiro Niinuma, Kris Kitani et al.

Generalization to New Sequential Decision Making Tasks with In-Context Learning

Sharath Chandra Raparthy, Eric Hambro, Robert Kirk et al.

OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies

Lingdong Kong, Youquan Liu, Lai Xing Ng et al.

Action Scene Graphs for Long-Form Understanding of Egocentric Videos

Ivan Rodin, Antonino Furnari, Kyle Min et al.

An Information-Theoretic Analysis of In-Context Learning

Hong Jun Jeon, Jason Lee, Qi Lei et al.

Efficient Exploration for LLMs

Vikranth Dwaracherla, Seyed Mohammad Asghari, Botao Hao et al.

Disentangled Prompt Representation for Domain Generalization

De Cheng, Zhipeng Xu, XINYANG JIANG et al.

Compositional Text-to-Image Generation with Dense Blob Representations

Weili Nie, Sifei Liu, Morteza Mardani et al.

Towards Accurate Post-training Quantization for Diffusion Models

Changyuan Wang, Ziwei Wang, Xiuwei Xu et al.

Parallel Vertex Diffusion for Unified Visual Grounding

Authors: Zesen Cheng, Kehan Li, Peng Jin et al.

MEVG : Multi-event Video Generation with Text-to-Video Models

Gyeongrok Oh, Jaehwan Jeong, Sieun Kim et al.

Goldfish: Vision-Language Understanding of Arbitrarily Long Videos

Kirolos Ataallah, Xiaoqian Shen, Eslam mohamed abdelrahman et al.

Adversarial Robustness Limits via Scaling-Law and Human-Alignment Studies

Brian Bartoldson, James Diffenderfer, Konstantinos Parasyris et al.

Question Aware Vision Transformer for Multimodal Reasoning

Roy Ganz, Yair Kittenplon, Aviad Aberdam et al.

SUGAR: Pre-training 3D Visual Representations for Robotics

Shizhe Chen, Ricardo Garcia Pinel, Ivan Laptev et al.

Adv-Diffusion: Imperceptible Adversarial Face Identity Attack via Latent Diffusion Model

Decheng Liu, Xijun Wang, Chunlei Peng et al.

SAM-PARSER: Fine-Tuning SAM Efficiently by Parameter Space Reconstruction

Zelin Peng, Zhengqin Xu, Zhilin Zeng et al.

SimAC: A Simple Anti-Customization Method for Protecting Face Privacy against Text-to-Image Synthesis of Diffusion Models

Feifei Wang, Zhentao Tan, Tianyi Wei et al.

When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection

DVLO: Deep Visual-LiDAR Odometry with Local-to-Global Feature Fusion and Bi-Directional Structure Alignment

Jiuming Liu, Dong Zhuo, Zhiheng Feng et al.

Amodal Completion via Progressive Mixed Context Diffusion

Katherine Xu, Lingzhi Zhang, Jianbo Shi

On the Generalization of Stochastic Gradient Descent with Momentum

Ali Ramezani-Kebrya, Kimon Antonakopoulos, Volkan Cevher et al.

Fairy: Fast Parallelized Instruction-Guided Video-to-Video Synthesis

Bichen Wu, Ching-Yao Chuang, Xiaoyan Wang et al.

Privacy-Preserving Instructions for Aligning Large Language Models

Da Yu, Peter Kairouz, Sewoong Oh et al.

Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation

Siyu Jiao, hongguang Zhu, Yunchao Wei et al.

Tokenize Anything via Prompting

Ting Pan, Lulu Tang, Xinlong Wang et al.

Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds

Tianrui Lou, Xiaojun Jia, Jindong Gu et al.

Pyramid Diffusion for Fine 3D Large Scene Generation

Yuheng Liu, Xinke Li, Xueting Li et al.

FunQA: Towards Surprising Video Comprehension

Binzhu Xie, Sicheng Zhang, Zitang Zhou et al.

DragVideo: Interactive Drag-style Video Editing

Yufan Deng, Ruida Wang, Yuhao ZHANG et al.

Robust Emotion Recognition in Context Debiasing

Dingkang Yang, Kun Yang, Mingcheng Li et al.