Most Cited 2024 "adversarial patch attacks" Papers

Improved Analysis of Sparse Linear Regression in Local Differential Privacy Model

Liyang Zhu, Meng Ding, Vaneet Aggarwal et al.

Efficient Depth-Guided Urban View Synthesis

sheng miao, Jiaxin Huang, Dongfeng Bai et al.

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

Zhiguang Yang, Liufang Sang, Haoran Wang et al.

YTCommentQA: Video Question Answerability in Instructional Videos

Saelyne Yang, Sunghyun Park, Yunseok Jang et al.

Generalizable Face Landmarking Guided by Conditional Face Warping

Jiayi Liang, Haotian Liu, Hongteng Xu et al.

Optimal bounds for $\ell_p$ sensitivity sampling via $\ell_2$ augmentation

Alexander Munteanu, Simon Omlor

Finding Visual Saliency in Continuous Spike Stream

Lin Zhu, Xianzhang Chen, Xiao Wang et al.

Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction

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

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems

Hao Tian, Sourav Medya, Wei Ye

FTBC: Forward Temporal Bias Correction for Optimizing ANN-SNN Conversion

Xiaofeng Wu, Velibor Bojkovic, Bin Gu et al.

Learning in reverse causal strategic environments with ramifications on two sided markets

Seamus Somerstep, Yuekai Sun, Yaacov Ritov

Connect Later: Improving Fine-tuning for Robustness with Targeted Augmentations

Helen Qu, Sang Michael Xie

Differentiable Combinatorial Scheduling at Scale

Mingju Liu, Yingjie Li, Jiaqi Yin et al.

Smoothness, Synthesis, and Sampling: Re-thinking Unsupervised Multi-View Stereo with DIV Loss

Alex Rich, Noah Stier, Pradeep Sen et al.

Progressive Text-to-Image Diffusion with Soft Latent Direction

YuTeng Ye, Jiale Cai, Hang Zhou 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.

Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds

Yuyang Zhang, Shahriar Talebi, Na Li

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

Dongze Li, Kang Zhao, WEI WANG et al.

The Gaussian Discriminant Variational Autoencoder (GdVAE): A Self-Explainable Model with Counterfactual Explanations

Anselm Haselhoff, Kevin Trelenberg, Fabian Küppers et al.

Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations

Zipeng Wang, yunfan lu, LIN WANG

Universal Robustness via Median Randomized Smoothing for Real-World Super-Resolution

Zakariya Chaouai, Mohamed Tamaazousti

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

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

On the Maximal Local Disparity of Fairness-Aware Classifiers

Jinqiu Jin, Haoxuan Li, Fuli Feng

Simple Unsupervised Knowledge Distillation With Space Similarity

Aditya Singh, Haohan Wang

Impartial Adversarial Distillation: Addressing Biased Data-Free Knowledge Distillation via Adaptive Constrained Optimization

Dongping Liao, Xitong Gao, Chengzhong Xu

ERL-TD: Evolutionary Reinforcement Learning Enhanced with Truncated Variance and Distillation Mutation

Qiuzhen Lin, Yangfan Chen, Lijia Ma et al.

DSMix: Distortion-Induced Saliency Map Based Pre-training for No-Reference Image Quality Assessment

Jinsong Shi, Jinsong Shi, Xiaojiang Peng et al.

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

Jianan Fan, Dongnan Liu, Canran Li et al.

VSViG: Real-time Video-based Seizure Detection via Skeleton-based Spatiotemporal ViG

Yankun Xu, Junzhe Wang, Yun-Hsuan Chen et al.

Exploring Reliable Matching with Phase Enhancement for Night-time Semantic Segmentation

Yuwen Pan, Rui Sun, Naisong Luo et al.

ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models

Fei Kong, Jinhao Duan, Lichao Sun et al.

Parameter Estimation in DAGs from Incomplete Data via Optimal Transport

Vy Vo, Trung Le, Tung-Long Vuong et al.

A Characterization Theorem for Equivariant Networks with Point-wise Activations

Marco Pacini, Xiaowen Dong, Bruno Lepri et al.

Cross-Domain Semantic Segmentation on Inconsistent Taxonomy using VLMs

Jeongkee Lim, Yusung Kim

TIC-TAC: A Framework For Improved Covariance Estimation In Deep Heteroscedastic Regression

Megh Shukla, Mathieu Salzmann, Alexandre Alahi

On The Fairness Impacts of Hardware Selection in Machine Learning

Sree Harsha Nelaturu, Nishaanth Kanna, Cuong Tran et al.

Optimal Batched Linear Bandits

Xuanfei Ren, Tianyuan Jin, Pan Xu

Survival Kernets: Scalable and Interpretable Deep Kernel Survival Analysis with an Accuracy Guarantee

George Chen

Multi-group Learning for Hierarchical Groups

Samuel Deng, Daniel Hsu

Automatic Functional Differentiation in JAX

Min Lin

StructComp: Substituting propagation with Structural Compression in Training Graph Contrastive Learning

Shengzhong Zhang, Wenjie Yang, Xinyuan Cao et al.

Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models

Luozhou Wang, Guibao Shen, Wenhang Ge et al.

Towards Model Extraction Attacks in GAN-Based Image Translation via Domain Shift Mitigation

Di Mi, Yanjun Zhang, Leo yu Zhang et al.

cDP-MIL: Robust Multiple Instance Learning via Cascaded Dirichlet Process

Yihang Chen, TSAI HOR CHAN, Guosheng Yin et al.

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

Dongwon Son, Jaehyung Kim, Sanghyeon Son et al.

Hybrid Reinforcement Learning from Offline Observation Alone

Yuda Song, J. Bagnell, Aarti Singh

Differentially private exact recovery for stochastic block models

Dung Nguyen, Anil Vullikanti

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

Chang Liu, Giulia Rizzoli, Pietro Zanuttigh et al.

Projection-Free Online Convex Optimization with Time-Varying Constraints

Dan Garber, Ben Kretzu

EBMDock: Neural Probabilistic Protein-Protein Docking via a Differentiable Energy Model

Huaijin Wu, Wei Liu, Yatao Bian et al.

Near-Optimal Regret in Linear MDPs with Aggregate Bandit Feedback

Asaf Cassel, Haipeng Luo, Aviv Rosenberg et al.

DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction

YANLONG LI, Chamara Madarasingha, Kanchana Thilakarathna

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

Boyang Peng, Sanqing Qu, Yong Wu et al.

Open-World Dynamic Prompt and Continual Visual Representation Learning

Youngeun Kim, Jun Fang, Qin Zhang et al.

Towards the Fundamental Limits of Knowledge Transfer over Finite Domains

Qingyue Zhao, Banghua Zhu

Accelerated Policy Gradient: On the Convergence Rates of the Nesterov Momentum for Reinforcement Learning

Yen-Ju Chen, Nai-Chieh Huang, Ching-pei Lee et al.

Optimistic Multi-Agent Policy Gradient

Wenshuai Zhao, Yi Zhao, Zhiyuan Li et al.

Averaging $n$-step Returns Reduces Variance in Reinforcement Learning

Brett Daley, Martha White, Marlos C. Machado

Risk Bounds of Accelerated SGD for Overparameterized Linear Regression

Xuheng Li, Yihe Deng, Jingfeng Wu et al.

Revisiting Calibration of Wide-Angle Radially Symmetric Cameras

Andrea Porfiri Dal Cin, Francesco Azzoni, Giacomo Boracchi et al.

Instance-dependent Noisy-label Learning with Graphical Model Based Noise-rate Estimation

Arpit Garg, Cuong Cao Nguyen, RAFAEL FELIX et al.

Feature Diversification and Adaptation for Federated Domain Generalization

Seunghan Yang, Seokeon Choi, Hyunsin Park et al.

LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints

Weidi Xu, Jingwei Wang, Lele Xie 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.

XScale-NVS: Cross-Scale Novel View Synthesis with Hash Featurized Manifold

Guangyu Wang, Jinzhi Zhang, Fan Wang et al.

Understanding and Leveraging the Learning Phases of Neural Networks

Continuous Pose for Monocular Cameras in Neural Implicit Representation

Qi Ma, Danda Paudel, Ajad Chhatkuli et al.

Response Enhanced Semi-supervised Dialogue Query Generation

Jianheng Huang, Ante Wang, Linfeng Gao et al.

Generalisation through Negation and Predicate Invention

David M. Cerna, Andrew Cropper

DECap: Towards Generalized Explicit Caption Editing via Diffusion Mechanism

Zhen Wang, Xinyun Jiang, Jun Xiao et al.

Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations

Patricia Pauli, Aaron Havens, Alexandre Araujo et al.

Protect Your Score: Contact-Tracing with Differential Privacy Guarantees

Rob Romijnders, Christos Louizos, Yuki Asano et al.

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

Yihao Xue, Siddharth Joshi, Dang Nguyen et al.

DATENeRF: Depth-Aware Text-based Editing of NeRFs

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

Contextual Feature Selection with Conditional Stochastic Gates

Ram Dyuthi Sristi, Ofir Lindenbaum, Shira Lifshitz et al.

ConSequence: Synthesizing Logically Constrained Sequences for Electronic Health Record Generation

Brandon Theodorou, Shrusti Jain, Cao Xiao et al.

Understanding Multi-compositional learning in Vision and Language models via Category Theory

Sotirios Panagiotis Takis Chytas, Hyunwoo J. Kim, Vikas Singh

EgoPoseFormer: A Simple Baseline for Stereo Egocentric 3D Human Pose Estimation

Chenhongyi Yang, Anastasia Tkach, Shreyas Hampali et al.

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

Xiaoyong Lu, Songlin Du

Spatial-Temporal Multi-level Association for Video Object Segmentation

Deshui Miao, Xin Li, Zhenyu He et al.

Self-Infilling Code Generation

Lin Zheng, Jianbo Yuan, Zhi Zhang et al.

Learning Latent Space Hierarchical EBM Diffusion Models

Jiali Cui, Tian Han

CAR-Transformer: Cross-Attention Reinforcement Transformer for Cross-Lingual Summarization

Yuang Cai, Yuyu Yuan

VINECS: Video-based Neural Character Skinning

Zhouyingcheng Liao, Vladislav Golyanik, Marc Habermann 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.

Federated Partial Label Learning with Local-Adaptive Augmentation and Regularization

Yan Yan, Yuhong Guo

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

Zhanzhong Pang, Fadime Sener, Shrinivas Ramasubramanian et al.

Efficient Hyperparameter Optimization with Adaptive Fidelity Identification

Jiantong Jiang, Zeyi Wen, Atif Mansoor et al.

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

Cristina Mata, Kanchana N Ranasinghe, Michael S Ryoo

Unified Medical Image Pre-training in Language-Guided Common Semantic Space

Xiaoxuan He, Yifan Yang, Xinyang Jiang et al.

Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis

Dexu Kong, Anping Zhang, Yang Li

Your Student is Better Than Expected: Adaptive Teacher-Student Collaboration for Text-Conditional Diffusion Models

Nikita Starodubcev, Dmitry Baranchuk, Artem Fedorov et al.

Fundamental Matrix Estimation Using Relative Depths

Yaqing Ding, Václav Vávra, Snehal Bhayani et al.

Event-based Mosaicing Bundle Adjustment

Shuang Guo, Guillermo Gallego

Doubly Perturbed Task Free Continual Learning

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

Temporal As a Plugin: Unsupervised Video Denoising with Pre-Trained Image Denoisers

Zixuan Fu, Lanqing Guo, Chong Wang et al.

DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness

Shoumik Saha, Wenxiao Wang, Yigitcan Kaya et al.

Point-VOS: Pointing Up Video Object Segmentation

Sabarinath Mahadevan, Idil Esen Zulfikar, Paul Voigtlaender et al.

Decoupling Meta-Reinforcement Learning with Gaussian Task Contexts and Skills

Hongcai He, Anjie Zhu, Shuang Liang et al.

nuCraft: Crafting High Resolution 3D Semantic Occupancy for Unified 3D Scene Understanding

Benjin Zhu, zhe wang, Hongsheng LI

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

Zongrui Li, Zhan Lu, Haojie Yan et al.

Long-Tailed Learning as Multi-Objective Optimization

Weiqi Li, Fan Lyu, Fanhua Shang et al.

Permutation-Based Hypothesis Testing for Neural Networks

Francesca Mandel, Ian Barnett

High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling

Yuxuan Yin, Yu Wang, Peng Li

Uncertainty-Aware Reward-Free Exploration with General Function Approximation

Junkai Zhang, Weitong Zhang, Dongruo Zhou et al.

Treatment Effects Estimation By Uniform Transformer

Ruoqi Yu, Shulei Wang

Efficient Contextual Bandits with Uninformed Feedback Graphs

Mengxiao Zhang, Yuheng Zhang, Haipeng Luo et al.

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

Yemin Yu, Luotian Yuan, Ying WEI et al.

Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation

Xinyu Yang, Hossein Rahmani, Sue Black et al.

Straight-Through Meets Sparse Recovery: the Support Exploration Algorithm

Mimoun Mohamed, Francois Malgouyres, Valentin Emiya et al.

A Cephalometric Landmark Regression Method based on Dual-encoder for High-resolution X-ray Image

Chao Dai, Wang Yang, Chaolin Huang et al.

Disparate Impact on Group Accuracy of Linearization for Private Inference

Saswat Das, Marco Romanelli, Ferdinando Fioretto

SleepVST: Sleep Staging from Near-Infrared Video Signals using Pre-Trained Transformers

Jonathan F. Carter, Joao Jorge, Oliver Gibson et al.

Fast Updating Truncated SVD for Representation Learning with Sparse Matrices

Haoran Deng, Yang Yang, Jiahe Li et al.

Defying Imbalanced Forgetting in Class Incremental Learning

Shixiong Xu, Gaofeng Meng, Xing Nie et al.

RankSEG: A Consistent Ranking-based Framework for Segmentation

Ben Dai, Chunlin Li

Decomposition Betters Tracking Everything Everywhere

Rui Li, Dong Liu

Joint RGB-Spectral Decomposition Model Guided Image Enhancement in Mobile Photography

Kailai Zhou, Lijing Cai, Yibo Wang et al.

Implicit Neural Models to Extract Heart Rate from Video

Pradyumna Chari, Anirudh Bindiganavale Harish, Adnan Armouti et al.

Learning Local Pattern Modularization for Point Cloud Reconstruction from Unseen Classes

Chao Chen, Yushen Liu, Zhizhong Han

Environment Design for Inverse Reinforcement Learning

Thomas Kleine Buening, Victor Villin, Christos Dimitrakakis

Asynchronous Bioplausible Neuron for Spiking Neural Networks for Event-Based Vision

Hussain Sajwani, Dimitrios Makris, Yahya Zweiri et al.

A Unified Framework for Learning with Nonlinear Model Classes from Arbitrary Linear Samples

Ben Adcock, Juan Cardenas, Nick Dexter

On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition

Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston et al.

Towards Automatic Power Battery Detection: New Challenge Benchmark Dataset and Baseline

Xiaoqi Zhao, Youwei Pang, Zhenyu Chen et al.

Dyn-Adapter: Towards Disentangled Representation for Efficient Visual Recognition

Yurong Zhang, Honghao Chen, Zhang Xinyu et al.

LeGO: Leveraging a Surface Deformation Network for Animatable Stylized Face Generation with One Example

Soyeon Yoon, Kwan Yun, Kwanggyoon Seo et al.

Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment

Yufan Liu, Wanqian Zhang, Dayan Wu et al.

Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration

Emanuel Sanchez Aimar, Nathaniel D Helgesen, Yonghao Xu et al.

Benchmarking the Robustness of Cross-view Geo-localization Models

Qingwang Zhang, Yingying Zhu

Enhancing Tracking Robustness with Auxiliary Adversarial Defense Networks

Zhewei Wu, Ruilong Yu, Qihe Liu et al.

Balanced Data, Imbalanced Spectra: Unveiling Class Disparities with Spectral Imbalance

Chiraag Kaushik, Ran Liu, Chi-Heng Lin et al.

Non-Line-of-Sight Estimation of Fast Human Motion with Slow Scanning Imagers

Javier Grau Chopite, Patrick Hähn, Matthias B Hullin

AD3: Introducing a score for Anomaly Detection Dataset Difficulty assessment using VIADUCT dataset

Jan Lehr, Jan H Philipps, Alik Sargsyan et al.

CosalPure: Learning Concept from Group Images for Robust Co-Saliency Detection

Jiayi Zhu, Qing Guo, Felix Juefei Xu et al.

FlowCon: Out-of-Distribution Detection using Flow-based Contrastive Learning

Saandeep Aathreya, Shaun Canavan

CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection

Shuang Hao, Chunlin Zhong, He Tang

Canonical Shape Projection is All You Need for 3D Few-shot Class Incremental Learning

Ali Cheraghian, Zeeshan Hayder, Sameeea Ramasinghe et al.

Rectify the Regression Bias in Long-Tailed Object Detection

Ke Zhu, Minghao Fu, Jie Shao et al.

Sequential Representation Learning via Static-Dynamic Conditional Disentanglement

Mathieu Simon, Pascal Frossard, Christophe De Vleeschouwer

Regularizing Dynamic Radiance Fields with Kinematic Fields

Woobin Im, Geonho Cha, Sebin Lee et al.

SpaceJAM: a Lightweight and Regularization-free Method for Fast Joint Alignment of Images

Nir Barel, Ron Aharon Shapira Weber, Nir Mualem et al.

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

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

Text2QR: Harmonizing Aesthetic Customization and Scanning Robustness for Text-Guided QR Code Generation

Guangyang Wu, Xiaohong Liu, Jun Jia et al.

Efficient Detection of Long Consistent Cycles and its Application to Distributed Synchronization

Shaohan Li, Yunpeng Shi, Gilad Lerman

SlowFormer: Adversarial Attack on Compute and Energy Consumption of Efficient Vision Transformers

Navaneet K L, Soroush Abbasi Koohpayegani, Essam Sleiman et al.

Learned Neural Physics Simulation for Articulated 3D Human Pose Reconstruction

Mykhaylo Andriluka, Baruch Tabanpour, Daniel Freeman et al.

UPose3D: Uncertainty-Aware 3D Human Pose Estimation with Cross-View and Temporal Cues

Vandad Davoodnia, Saeed Ghorbani, Marc-André Carbonneau et al.

The Merit of River Network Topology for Neural Flood Forecasting

Nikolas Kirschstein, Yixuan Sun

Slicing Mutual Information Generalization Bounds for Neural Networks

Kimia Nadjahi, Kristjan Greenewald, Rickard Gabrielsson et al.

Mimicking Better by Matching the Approximate Action Distribution

Joao A. Candido Ramos, Lionel Blondé, Naoya Takeishi et al.

diff History for Neural Language Agents

Ulyana Piterbarg, Lerrel Pinto, Rob Fergus

Traffic Scene Parsing through the TSP6K Dataset

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

Pose-Guided Self-Training with Two-Stage Clustering for Unsupervised Landmark Discovery

Siddharth Tourani, Ahmed Alwheibi, Arif Mahmood et al.

Quantum Theory and Application of Contextual Optimal Transport

Nicola Mariella, Albert Akhriev, Francesco Tacchino et al.

Towards Global Optimality for Practical Average Reward Reinforcement Learning without Mixing Time Oracles

Bhrij Patel, Wesley A. Suttle, Alec Koppel et al.

Modality Translation for Object Detection Adaptation without forgetting prior knowledge

Heitor Rapela Medeiros, Masih Aminbeidokhti, Fidel A Guerrero Pena et al.

POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning

Jiayi Guan, Li Shen, Ao Zhou et al.

Learning to Obstruct Few-Shot Image Classification over Restricted Classes

Amber Yijia Zheng, Chiao-An Yang, Raymond Yeh

A Fixed-Point Approach for Causal Generative Modeling

Meyer Scetbon, Joel Jennings, Agrin Hilmkil et al.

Deconstructing the Goldilocks Zone of Neural Network Initialization

Artem Vysogorets, Anna Dawid, Julia Kempe

Learning to Remove Wrinkled Transparent Film with Polarized Prior

Jiaqi Tang, RUIZHENG WU, Xiaogang Xu et al.

ESR-NeRF: Emissive Source Reconstruction Using LDR Multi-view Images

Jinseo Jeong, Junseo Koo, Qimeng Zhang et al.

PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-Performer

Chang Chen, Junyeob Baek, Fei Deng et al.

Unleashing the Power of Meta-tuning for Few-shot Generalization Through Sparse Interpolated Experts

Shengzhuang Chen, Jihoon Tack, Yunqiao Yang et al.

Implicit Bias of Policy Gradient in Linear Quadratic Control: Extrapolation to Unseen Initial States

Noam Razin, Yotam Alexander, Edo Cohen-Karlik et al.

Pose Adapted Shape Learning for Large-Pose Face Reenactment

Gee-Sern Hsu, Jie-Ying Zhang, Yu-Hsiang Huang et al.

Hypernetworks for Generalizable BRDF Representation

Fazilet Gokbudak, Alejandro Sztrajman, Chenliang Zhou et al.

Multiplane Prior Guided Few-Shot Aerial Scene Rendering

Zihan Gao, Licheng Jiao, Lingling Li et al.

Anomaly Score: Evaluating Generative Models and Individual Generated Images based on Complexity and Vulnerability

Jaehui Hwang, Junghyuk Lee, Jong-Seok Lee

Infrared Adversarial Car Stickers

Xiaopei Zhu, Yuqiu Liu, Zhanhao Hu et al.

Listening to the noise: Blind Denoising with Gibbs Diffusion

David Heurtel-Depeiges, Charles Margossian, Ruben Ohana et al.

AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale

Adam Pardyl, Michal Wronka, Maciej Wołczyk et al.

TexVocab: Texture Vocabulary-conditioned Human Avatars

Yuxiao Liu, Zhe Li, Yebin Liu et al.

Learning Decision Trees and Forests with Algorithmic Recourse

Kentaro Kanamori, Takuya Takagi, Ken Kobayashi et al.

Real-Time Neural BRDF with Spherically Distributed Primitives

Yishun Dou, Zhong Zheng, Qiaoqiao Jin et al.

A Field Guide for Pacing Budget and ROS Constraints

Santiago Balseiro, Kshipra Bhawalkar, Zhe Feng et al.

PriorBoost: An Adaptive Algorithm for Learning from Aggregate Responses

Adel Javanmard, Matthew Fahrbach, Vahab Mirrokni

Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning

Joshua C. Zhao, Ahaan Dabholkar, Atul Sharma et al.

ReGround: Improving Textual and Spatial Grounding at No Cost

Phillip (Yuseung) Lee, Minhyuk Sung

Anatomically Constrained Implicit Face Models

Prashanth Chandran, Gaspard Zoss

Continuous Treatment Effects with Surrogate Outcomes

Zhenghao Zeng, David Arbour, Avi Feller et al.

AugDETR: Improving Multi-scale Learning for Detection Transformer

Jinpeng Dong, Yutong Lin, Chen Li et al.

IReNe: Instant Recoloring of Neural Radiance Fields

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

Unsupervised Feature Learning with Emergent Data-Driven Prototypicality

Yunhui Guo, Youren Zhang, Yubei Chen et al.

Distributional Bellman Operators over Mean Embeddings

Li Kevin Wenliang, Gregoire Deletang, Matthew Aitchison et al.

Exploring Guided Sampling of Conditional GANs

Yifei Zhang, Mengfei Xia, Yujun Shen et al.

Omniview-Tuning: Boosting Viewpoint Invariance of Vision-Language Pre-training Models

Shouwei Ruan, Yinpeng Dong, Liu Hanqing et al.

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

Zinuo You, Andreas Geiger, Anpei Chen

Improving Intervention Efficacy via Concept Realignment in Concept Bottleneck Models

Nishad Singhi, Jae Myung Kim, Karsten Roth et al.

LPSNet: End-to-End Human Pose and Shape Estimation with Lensless Imaging

Haoyang Ge, Qiao Feng, Hailong Jia et al.

I2-SLAM: Inverting Imaging Process for Robust Photorealistic Dense SLAM

Gwangtak Bae, Changwoon Choi, Hyeongjun Heo et al.

How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?

Yuxin Chen, Zongyang Ma, Ziqi Zhang et al.

On Train-Test Class Overlap and Detection for Image Retrieval

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

Neural Modes: Self-supervised Learning of Nonlinear Modal Subspaces

Jiahong Wang, Yinwei DU, Stelian Coros et al.

Progressive Classifier and Feature Extractor Adaptation for Unsupervised Domain Adaptation on Point Clouds

Zicheng Wang, Zhen Zhao, Yiming Wu et al.

A Simple Early Exiting Framework for Accelerated Sampling in Diffusion Models

Taehong Moon, Moonseok Choi, EungGu Yun et al.

Enhancing Intrinsic Features for Debiasing via Investigating Class-Discerning Common Attributes in Bias-Contrastive Pair

Jeonghoon Park, Chaeyeon Chung, Jaegul Choo

HUNTER: Unsupervised Human-centric 3D Detection via Transferring Knowledge from Synthetic Instances to Real Scenes

Yichen Yao, Zimo Jiang, YUJING SUN et al.

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

Bowen Fu, Gu Wang, Chenyangguang Zhang et al.