Most Cited 2024 "range-guided discriminator" Papers

Off-Policy Primal-Dual Safe Reinforcement Learning

Zifan Wu, Bo Tang, Qian Lin et al.

Markov Knowledge Distillation: Make Nasty Teachers trained by Self-undermining Knowledge Distillation Fully Distillable

En-Hui Yang, Linfeng Ye

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression

Xuanlong Yu, Gianni Franchi, Jindong Gu et al.

PolyOculus: Simultaneous Multi-view Image-based Novel View Synthesis

Jason Yu, Tristan Aumentado-Armstrong, Fereshteh Forghani et al.

Spectral Preconditioning for Gradient Methods on Graded Non-convex Functions

Nikita Doikov, Sebastian Stich, Martin Jaggi

The Expressive Leaky Memory Neuron: an Efficient and Expressive Phenomenological Neuron Model Can Solve Long-Horizon Tasks.

Aaron Spieler, Nasim Rahaman, Georg Martius et al.

Auto-DAS: Automated Proxy Discovery for Training-free Distillation-aware Architecture Search

Haosen SUN, Lujun Li, Peijie Dong et al.

Thin-Shell Object Manipulations With Differentiable Physics Simulations

Yian Wang, Juntian Zheng, Zhehuan Chen et al.

Near-Optimal Solutions of Constrained Learning Problems

Juan Elenter, Luiz Chamon, Alejandro Ribeiro

Concept Arithmetics for Circumventing Concept Inhibition in Diffusion Models

Vitali Petsiuk, Kate Saenko

Towards Scene Graph Anticipation

Rohith Peddi, Saksham Singh, Saurabh . et al.

Towards Principled Representation Learning from Videos for Reinforcement Learning

Dipendra Kumar Misra, Akanksha Saran, Tengyang Xie et al.

Optimal Survival Trees: A Dynamic Programming Approach

Tim Huisman, Jacobus van der Linden, Emir Demirović

Learning Cross-hand Policies of High-DOF Reaching and Grasping

Qijin She, Shishun Zhang, Yunfan Ye et al.

Robust Loss Functions for Training Decision Trees with Noisy Labels

12831 Jonathan Wilton, Nan Ye

DocMSU: A Comprehensive Benchmark for Document-Level Multimodal Sarcasm Understanding

Hang Du, Guoshun Nan, Sicheng Zhang et al.

FALIP: Visual Prompt as Foveal Attention Boosts CLIP Zero-Shot Performance

Jiedong Zhuang, Jiaqi Hu, Lianrui Mu et al.

1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations

Chandra Chekuri, Pooja Kulkarni, Rucha Kulkarni et al.

Colored Noise in PPO: Improved Exploration and Performance through Correlated Action Sampling

Jakob Hollenstein, Georg Martius, Justus Piater

Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning

Qiwei Di, Heyang Zhao, Jiafan He et al.

SHIC: Shape-Image Correspondences with no Keypoint Supervision

Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi

Kernel Semi-Implicit Variational Inference

Ziheng Cheng, Longlin Yu, Tianyu Xie et al.

Lyapunov-Stable Deep Equilibrium Models

Haoyu Chu, Shikui Wei, Ting Liu et al.

Robustifying and Boosting Training-Free Neural Architecture Search

Zhenfeng He, Yao Shu, Zhongxiang Dai et al.

Guess & Sketch: Language Model Guided Transpilation

Celine Lee, Abdulrahman Mahmoud, Michal Kurek et al.

Primitive-Based 3D Human-Object Interaction Modelling and Programming

Siqi Liu, Yong-Lu Li, Zhou FANG et al.

Accelerating Image Super-Resolution Networks with Pixel-Level Classification

Jinho Jeong, Jinwoo Kim, Younghyun Jo et al.

Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners

Junhao Dong, Piotr Koniusz, Junxi Chen et al.

Robust Policy Learning via Offline Skill Diffusion

Woo Kyung Kim, Minjong Yoo, Honguk Woo

A General Framework for Learning from Weak Supervision

Hao Chen, Jindong Wang, Lei Feng et al.

EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING

Siyu Ren, Zhiyong Wu, Kenny Zhu

On Calibration of Object Detectors: Pitfalls, Evaluation and Baselines

Selim Kuzucu, Kemal Oksuz, Jonathan Sadeghi et al.

Diversity-aware Channel Pruning for StyleGAN Compression

Jiwoo Chung, Sangeek Hyun, Sang-Heon Shim et al.

Cross-Dimension Affinity Distillation for 3D EM Neuron Segmentation

Xiaoyu Liu, Miaomiao Cai, Yinda Chen et al.

Learning Diverse Risk Preferences in Population-Based Self-Play

Yuhua Jiang, Qihan Liu, Xiaoteng Ma et al.

Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets

Qin Lei, Jiang Zhong, Qizhu Dai

Scene-Graph ViT: End-to-End Open-Vocabulary Visual Relationship Detection

Tim Salzmann, Markus Ryll, Alex Bewley et al.

JRDB-PanoTrack: An Open-world Panoptic Segmentation and Tracking Robotic Dataset in Crowded Human Environments

Duy Tho Le, Chenhui Gou, Stavya Datta et al.

Mitigating Label Bias in Machine Learning: Fairness through Confident Learning

Yixuan Zhang, Boyu Li, Zenan Ling et al.

Zero-Shot Adaptation for Approximate Posterior Sampling of Diffusion Models in Inverse Problems

Yasar Utku Alcalar, Mehmet Akcakaya

When Representations Align: Universality in Representation Learning Dynamics

Loek van Rossem, Andrew Saxe

Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection

Suyeon Kim, Dongha Lee, SeongKu Kang et al.

Reachability of Fair Allocations via Sequential Exchanges

Ayumi Igarashi, Naoyuki Kamiyama, Warut Suksompong et al.

The More You See in 2D the More You Perceive in 3D

Xinyang Han, Zelin Gao, Angjoo Kanazawa et al.

Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need

Jiaxuan Chen, Yu Qi, Yueming Wang et al.

Imitation Learning in Discounted Linear MDPs without exploration assumptions

Luca Viano, EFSTRATIOS PANTELEIMON SKOULAKIS, Volkan Cevher

Universal Backdoor Attacks

Benjamin Schneider, Nils Lukas, Florian Kerschbaum

3D LiDAR Mapping in Dynamic Environments using a 4D Implicit Neural Representation

Xingguang Zhong, Yue Pan, Cyrill Stachniss et al.

Restoration by Generation with Constrained Priors

Zheng Ding, Xuaner Zhang, Zhuowen Tu et al.

PoseCrafter: One-Shot Personalized Video Synthesis Following Flexible Pose Control

Yong Zhong, Min Zhao, Zebin You et al.

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection

Zhongyi Shui, Sunyi Zheng, Chenglu Zhu et al.

Semantically-correlated memories in a dense associative model

Thomas F Burns

Non-flat ABA Is an Instance of Bipolar Argumentation

Markus Ulbricht, Nico Potyka, Anna Rapberger et al.

Layered Rendering Diffusion Model for Controllable Zero-Shot Image Synthesis

Zipeng Qi, Guoxi Huang, Chenyang Liu et al.

Tackling Prevalent Conditions in Unsupervised Combinatorial Optimization: Cardinality, Minimum, Covering, and More

Fanchen Bu, Hyeonsoo Jo, Soo Yong Lee et al.

Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding

Depeng Li, Tianqi Wang, Junwei Chen et al.

Robust Training of Federated Models with Extremely Label Deficiency

Yonggang Zhang, Zhiqin Yang, Xinmei Tian et al.

Diffusion-FOF: Single-View Clothed Human Reconstruction via Diffusion-Based Fourier Occupancy Field

Yuanzhen Li, Fei LUO, Chunxia Xiao

What Sketch Explainability Really Means for Downstream Tasks?

Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Ayan Kumar Bhunia et al.

Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes

Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa

On dimensionality of feature vectors in MPNNs

César Bravo, Alexander Kozachinskiy, Cristobal Rojas

Reshaping the Online Data Buffering and Organizing Mechanism for Continual Test-Time Adaptation

Zhilin Zhu, Xiaopeng Hong, Zhiheng Ma et al.

Language Model Decoding as Direct Metrics Optimization

Haozhe Ji, Pei Ke, Hongning Wang et al.

IFTR: An Instance-Level Fusion Transformer for Visual Collaborative Perception

Shaohong Wang, Lu Bin, Xinyu Xiao et al.

Efficient local linearity regularization to overcome catastrophic overfitting

Elias Abad Rocamora, Fanghui Liu, Grigorios Chrysos et al.

F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis

Sitong Su, Jianzhi Liu, Lianli Gao et al.

Nearly Equitable Allocations beyond Additivity and Monotonicity

Towards Open-Ended Visual Recognition with Large Language Models

Qihang Yu, Xiaohui Shen, Liang-Chieh Chen

Sarah Frank-Wolfe: Methods for Constrained Optimization with Best Rates and Practical Features

Aleksandr Beznosikov, David Dobre, Gauthier Gidel

Momentum for the Win: Collaborative Federated Reinforcement Learning across Heterogeneous Environments

Han Wang, Sihong He, Zhili Zhang et al.

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

Ziyang Yu, Wenbing Huang, Yang Liu

Taming Binarized Neural Networks and Mixed-Integer Programs

Johannes Aspman, Georgios Korpas, Jakub Marecek

Chameleon: Increasing Label-Only Membership Leakage with Adaptive Poisoning

Harsh Chaudhari, Giorgio Severi, Alina Oprea et al.

Text2Place: Affordance-aware Text Guided Human Placement

Rishubh Parihar, Harsh Gupta, Sachidanand VS et al.

SEER: Backdoor Detection for Vision-Language Models through Searching Target Text and Image Trigger Jointly

Liuwan Zhu, Rui Ning, Jiang Li et al.

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham et al.

Cross-spectral Gated-RGB Stereo Depth Estimation

Samuel Brucker, Stefanie Walz, Mario Bijelic et al.

WaveMo: Learning Wavefront Modulations to See Through Scattering

Mingyang Xie, Haiyun Guo, Brandon Y. Feng et al.

GeoReF: Geometric Alignment Across Shape Variation for Category-level Object Pose Refinement

Linfang Zheng, Tze Ho Elden Tse, Chen Wang et al.

An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation

Zhiyu Tan, Mengping Yang, Luozheng Qin et al.

Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter Profile

Seokjun Lee, Seung-Won Jung, Hyunseok Seo

Gaze from Origin: Learning for Generalized Gaze Estimation by Embedding the Gaze Frontalization Process

Mingjie Xu, Feng Lu

CoLiDE: Concomitant Linear DAG Estimation

Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper

Task-Adaptive Saliency Guidance for Exemplar-free Class Incremental Learning

Xialei Liu, Jiang-Tian Zhai, Andrew Bagdanov et al.

Joint2Human: High-Quality 3D Human Generation via Compact Spherical Embedding of 3D Joints

Muxin Zhang, Qiao Feng, Zhuo Su et al.

Neural Collapse meets Differential Privacy: Curious behaviors of NoisyGD with Near-Perfect Representation Learning

Chendi Wang, Yuqing Zhu, Weijie Su et al.

D4-VTON: Dynamic Semantics Disentangling for Differential Diffusion based Virtual Try-On

Zhaotong Yang, Zicheng Jiang, Xinzhe Li et al.

Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually

Mazal Bethany, Brandon Wherry, Nishant Vishwamitra et al.

Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models

Yongxian Wei, Zixuan Hu, Li Shen et al.

Semi-Supervised Video Desnowing Network via Temporal Decoupling Experts and Distribution-Driven Contrastive Regularization

Hongtao Wu, Yijun Yang, Angelica I Aviles-Rivero et al.

DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors

Xiaze Zhang, Ziheng Ding, Qi Jing et al.

SurroundSDF: Implicit 3D Scene Understanding Based on Signed Distance Field

Lizhe Liu, Bohua Wang, Hongwei Xie et al.

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

Andreas Grivas, Antonio Vergari, Adam Lopez

PFStorer: Personalized Face Restoration and Super-Resolution

Tuomas Varanka, Tapani Toivonen, Soumya Tripathy et al.

Cross Initialization for Face Personalization of Text-to-Image Models

Lianyu Pang, Jian Yin, Haoran Xie et al.

Colorizing Monochromatic Radiance Fields

Yean Cheng, Renjie Wan, Shuchen Weng et al.

Memory-Efficient Fine-Tuning for Quantized Diffusion Model

Hyogon Ryu, Seohyun Lim, Hyunjung Shim

From a Bird's Eye View to See: Joint Camera and Subject Registration without the Camera Calibration

Zekun Qian, Ruize Han, Wei Feng et al.

Looking 3D: Anomaly Detection with 2D-3D Alignment

Ankan Kumar Bhunia, Changjian Li, Hakan Bilen

Sparsistency for inverse optimal transport

Francisco Andrade, Gabriel Peyré, Clarice Poon

RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement

Tatiana Gaintseva, Martin Benning, Greg Slabaugh

Total Variation Distance Meets Probabilistic Inference

Arnab Bhattacharyya, Sutanu Gayen, Kuldeep S. Meel et al.

MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving

Guangfeng Jiang, Jun Liu, Yuzhi Wu et al.

Trainable Highly-expressive Activation Functions

Irit Chelly, Shahaf Finder, Shira Ifergane et al.

Effective Structural Encodings via Local Curvature Profiles

Lukas Fesser, Melanie Weber

IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking

Wei Zong, Yang-Wai Chow, Willy Susilo et al.

Accelerating Heterogeneous Federated Learning with Closed-form Classifiers

Eros Fanì, Raffaello Camoriano, Barbara Caputo et al.

Delta-AI: Local objectives for amortized inference in sparse graphical models

Jean-Pierre Falet, Hae Beom Lee, Nikolay Malkin et al.

Adaptive Regularization of Representation Rank as an Implicit Constraint of Bellman Equation

Qiang HE, Tianyi Zhou, Meng Fang et al.

Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning

Huy Hoang, Tien Mai, Pradeep Varakantham

Q-Star Meets Scalable Posterior Sampling: Bridging Theory and Practice via HyperAgent

Yingru Li, Jiawei Xu, Lei Han et al.

Zero-Shot Image Feature Consensus with Deep Functional Maps

Xinle Cheng, Congyue Deng, Adam Harley et al.

Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence

Zifan Wang, Zhuorui Ye, Haoran Wu et al.

Learning to Continually Learn with the Bayesian Principle

Soochan Lee, Hyeonseong Jeon, Jaehyeon Son et al.

Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation

Dong Zhao, Shuang Wang, Qi Zang et al.

Passive Snapshot Coded Aperture Dual-Pixel RGB-D Imaging

Bhargav Ghanekar, Salman Siddique Khan, Pranav Sharma et al.

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences

Authors: Yuequn Liu, Ruichu Cai, Wei Chen et al.

Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling

Jie Ruan, Xiao Pu, Mingqi Gao et al.

BrainWash: A Poisoning Attack to Forget in Continual Learning

Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash et al.

Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning

Saber Malekmohammadi, Yaoliang Yu, YANG CAO

One-hot Generalized Linear Model for Switching Brain State Discovery

Chengrui Li, Soon Ho Kim, Chris Rodgers et al.

StreamingFlow: Streaming Occupancy Forecasting with Asynchronous Multi-modal Data Streams via Neural Ordinary Differential Equation

Yining Shi, Kun JIANG, Ke Wang et al.

Open-Set Biometrics: Beyond Good Closed-Set Models

Yiyang Su, Minchul Kim, Feng Liu et al.

Unified Generation, Reconstruction, and Representation: Generalized Diffusion with Adaptive Latent Encoding-Decoding

Guangyi Liu, Yu Wang, Zeyu Feng et al.

Early Time Classification with Accumulated Accuracy Gap Control

Liran Ringel, Regev Cohen, Daniel Freedman et al.

Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces

Tales Carvalho, Kenneth Tjhia, Levi Lelis

Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits

Wang Chi Cheung, Vincent Tan, Zixin Zhong

Within the Dynamic Context: Inertia-aware 3D Human Modeling with Pose Sequence

Yutong Chen, Yifan Zhan, Zhihang Zhong et al.

AttentionHand: Text-driven Controllable Hand Image Generation for 3D Hand Reconstruction in the Wild

Junho Park, Kyeongbo Kong, Suk-Ju Kang

Towards Compositionality in Concept Learning

Adam Stein, Aaditya Naik, Yinjun Wu et al.

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning

Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang et al.

Made to Order: Discovering monotonic temporal changes via self-supervised video ordering

Charig Yang, Weidi Xie, Andrew ZISSERMAN

DreamDissector: Learning Disentangled Text-to-3D Generation from 2D Diffusion Priors

Zizheng Yan, Jiapeng Zhou, Fanpeng Meng et al.

Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation

Haibo Yang, Peiwen Qiu, Prashant Khanduri et al.

PolyRoom: Room-aware Transformer for Floorplan Reconstruction

Yuzhou Liu, Lingjie Zhu, Xiaodong Ma et al.

BayesPrompt: Prompting Large-Scale Pre-Trained Language Models on Few-shot Inference via Debiased Domain Abstraction

Jiangmeng Li, Fei Song, Yifan Jin et al.

Diffusion Models as Optimizers for Efficient Planning in Offline RL

Renming Huang, Yunqiang Pei, Guoqing Wang et al.

DiffCD: A Symmetric Differentiable Chamfer Distance for Neural Implicit Surface Fitting

Linus Härenstam-Nielsen, Lu Sang, Abhishek Saroha et al.

DC-Solver: Improving Predictor-Corrector Diffusion Sampler via Dynamic Compensation

Wenliang Zhao, Haolin Wang, Jie Zhou et al.

Offline Data Enhanced On-Policy Policy Gradient with Provable Guarantees

Yifei Zhou, Ayush Sekhari, Yuda Song et al.

Decoding Global Preferences: Temporal and Cooperative Dependency Modeling in Multi-Agent Preference-Based Reinforcement Learning

Tianchen Zhu, Yue Qiu, Haoyi Zhou et al.

Synaptic Weight Distributions Depend on the Geometry of Plasticity

Roman Pogodin, Jonathan Cornford, Arna Ghosh et al.

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

Tailin Wu, Willie Neiswanger, Hongtao Zheng et al.

Exploring the cloud of feature interaction scores in a Rashomon set

Sichao Li, Rong Wang, Quanling Deng et al.

fairret: a Framework for Differentiable Fairness Regularization Terms

Maarten Buyl, MaryBeth Defrance, Tijl De Bie

Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals

Shaoheng Fang, Zuhong Liu, Mingyu Wang et al.

VA3: Virtually Assured Amplification Attack on Probabilistic Copyright Protection for Text-to-Image Generative Models

Xiang Li, Qianli Shen, Kenji Kawaguchi

Plain-Det: A Plain Multi-Dataset Object Detector

cheng Shi, yuchen zhu, Sibei Yang

On the Limitations of Temperature Scaling for Distributions with Overlaps

Muthu Chidambaram, Rong Ge

3DInAction: Understanding Human Actions in 3D Point Clouds

Yizhak Ben-Shabat, Oren Shrout, Stephen Gould

Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos

Ekta Prashnani, Koki Nagano, Shalini De Mello et al.

RecurrentBEV: A Long-term Temporal Fusion Framework for Multi-view 3D Detection

Ming Chang, Xishan Zhang, Rui Zhang et al.

DeblurSR: Event-Based Motion Deblurring under the Spiking Representation

Chen Song, Chandrajit Bajaj, Qixing Huang

WildFusion: Learning 3D-Aware Latent Diffusion Models in View Space

Katja Schwarz, Seung Wook Kim, Jun Gao et al.

Camera Calibration using a Collimator System

Shunkun Liang, Banglei Guan, Zhenbao Yu et al.

Power Variable Projection for Initialization-Free Large-Scale Bundle Adjustment

Simon Weber, Je Hyeong Hong, Daniel Cremers

FARSE-CNN: Fully Asynchronous, Recurrent and Sparse Event-Based CNN

Riccardo Santambrogio, Marco Cannici, Matteo Matteucci

ConDense: Consistent 2D-3D Pre-training for Dense and Sparse Features from Multi-View Images

Xiaoshuai Zhang, Zhicheng Wang, Howard Zhou et al.

CoRe-GD: A Hierarchical Framework for Scalable Graph Visualization with GNNs

Florian Grötschla, Joël Mathys, Róbert Veres et al.

Exposing Text-Image Inconsistency Using Diffusion Models

Mingzhen Huang, Shan Jia, Zhou Zhou et al.

VidLA: Video-Language Alignment at Scale

Mamshad Nayeem Rizve, Fan Fei, Jayakrishnan Unnikrishnan et al.

Random Scaling and Momentum for Non-smooth Non-convex Optimization

Qinzi Zhang, Ashok Cutkosky

ProCreate, Don't Reproduce! Propulsive Energy Diffusion for Creative Generation

Jack Lu, Ryan Teehan, Mengye Ren

Total Selfie: Generating Full-Body Selfies

Bowei Chen, Brian Curless, Ira Kemelmacher-Shlizerman et al.

RTFS-Net: Recurrent Time-Frequency Modelling for Efficient Audio-Visual Speech Separation

Samuel Pegg, Kai Li, Xiaolin Hu

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making

Kate Donahue, Sreenivas Gollapudi, Kostas Kollias

Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution

Qing Cai, Mu Li, Dongwei Ren et al.

Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation

Devavrat Tomar, Guillaume Vray, Jean-Philippe Thiran et al.

High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field

Minghan Qin, Yifan Liu, Yuelang Xu et al.

Low-Distortion Clustering with Ordinal and Limited Cardinal Information

Jakob Burkhardt, Ioannis Caragiannis, Karl Fehrs et al.

Fake It Till Make It: Federated Learning with Consensus-Oriented Generation

Rui Ye, Yaxin Du, Zhenyang Ni et al.

COMO: Compact Mapping and Odometry

Eric Dexheimer, Andrew Davison

GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths

Xianyu Chen, Ming Jiang, Qi Zhao

SIG: Speaker Identification in Literature via Prompt-Based Generation

Zhenlin Su, Liyan Xu, Jin Xu et al.

A Benchmark Study on Calibration

Linwei Tao, Younan Zhu, Haolan Guo et al.

FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting

Shu-Ling Cheng, Chin-Yuan Yeh, Ting-An Chen et al.

STREAM: Spatio-TempoRal Evaluation and Analysis Metric for Video Generative Models

Pum Jun Kim, Seojun Kim, Jaejun Yoo

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain

Xiang He, Dongcheng Zhao, Yang Li et al.

Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification

Fengxiang Yang, Zhun Zhong, Zhiming Luo et al.

Uncertainty-aware Graph-based Hyperspectral Image Classification

Linlin Yu, Yifei Lou, Feng Chen

AdaBM: On-the-Fly Adaptive Bit Mapping for Image Super-Resolution

Cheeun Hong, Kyoung Mu Lee

General Point Model Pretraining with Autoencoding and Autoregressive

Zhe Li, Zhangyang Gao, Cheng Tan et al.

FSD-BEV: Foreground Self-Distillation for Multi-view 3D Object Detection

Zheng Jiang, Jinqing Zhang, Yanan Zhang et al.

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

Joseph Giovanelli, Alexander Tornede, Tanja Tornede et al.

Can Transformers Capture Spatial Relations between Objects?

Chuan Wen, Dinesh Jayaraman, Yang Gao

Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations

Junpeng Fang, Gongduo Zhang, Qing Cui et al.

Understanding Domain Generalization: A Noise Robustness Perspective

Rui Qiao, Bryan Kian Hsiang Low

GTPT: Group-based Token Pruning Transformer for Efficient Human Pose Estimation

Haonan Wang, Jie Liu, Jie Tang et al.

Make-It-Vivid: Dressing Your Animatable Biped Cartoon Characters from Text

Junshu Tang, Yanhong Zeng, Ke Fan et al.

Spatial-Semantic Collaborative Cropping for User Generated Content

Yukun Su, Yiwen Cao, Jingliang Deng et al.

Enhancing Evolving Domain Generalization through Dynamic Latent Representations

Binghui Xie, Yongqiang Chen, Jiaqi Wang et al.

3D Single-object Tracking in Point Clouds with High Temporal Variation

Qiao Wu, Kun Sun, Pei An et al.

Generating Universal Adversarial Perturbations for Quantum Classifiers

Gautham Anil, Vishnu Vinod, Apurva Narayan

KMTalk: Speech-Driven 3D Facial Animation with Key Motion Embedding

Zhihao Xu, Shengjie Gong, Jiapeng Tang et al.

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence

Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen et al.

Entangled View-Epipolar Information Aggregation for Generalizable Neural Radiance Fields

Zhiyuan Min, Yawei Luo, Wei Yang et al.

TexTile: A Differentiable Metric for Texture Tileability

Carlos Rodriguez-Pardo, Dan Casas, Elena Garces et al.

PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation

Jian Ma, Chen Chen, Qingsong Xie et al.

DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

Task-Aware Encoder Control for Deep Video Compression

Xingtong Ge, Jixiang Luo, XINJIE ZHANG et al.