All Papers

Real-time 3D-aware Portrait Editing from a Single Image

Qingyan Bai, Zifan Shi, Yinghao Xu et al.

Real-time 3D-aware Portrait Video Relighting

Ziqi Cai, Kaiwen Jiang, Shu-Yu Chen et al.

Real-time Acquisition and Reconstruction of Dynamic Volumes with Neural Structured Illumination

Yixin Zeng, Zoubin Bi, Yin Mingrui et al.

Real-Time Exposure Correction via Collaborative Transformations and Adaptive Sampling

Ziwen Li, Feng Zhang, Meng Cao et al.

Real-time Holistic Robot Pose Estimation with Unknown States

Shikun Ban, Juling Fan, Xiaoxuan Ma et al.

Real-Time Neural BRDF with Spherically Distributed Primitives

Yishun Dou, Zhong Zheng, Qiaoqiao Jin et al.

Real-time Photorealistic Dynamic Scene Representation and Rendering with 4D Gaussian Splatting

Zeyu Yang, Hongye Yang, Zijie Pan et al.

Real-Time Simulated Avatar from Head-Mounted Sensors

Zhengyi Luo, Jinkun Cao, Rawal Khirodkar et al.

RealViformer: Investigating Attention for Real-World Video Super-Resolution

Yuehan Zhang, Angela Yao

Real-World Efficient Blind Motion Deblurring via Blur Pixel Discretization

Insoo Kim, Jae Seok Choi, Geonseok Seo et al.

Real-World Mobile Image Denoising Dataset with Efficient Baselines

Roman Flepp, Andrey Ignatov, Radu Timofte et al.

Reason2Drive: Towards Interpretable and Chain-based Reasoning for Autonomous Driving

Ming Nie, Renyuan Peng, Chunwei Wang et al.

Reason for Future, Act for Now: A Principled Architecture for Autonomous LLM Agents

Zhihan Liu, Hao Hu, Shenao Zhang et al.

Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning

Linhao Luo, Yuan-Fang Li, Reza Haffari et al.

Reasoning with Latent Diffusion in Offline Reinforcement Learning

Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella et al.

Rebalancing Using Estimated Class Distribution for Imbalanced Semi-Supervised Learning under Class Distribution Mismatch

Taemin Park, Hyuck Lee, Heeyoung Kim

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning

Maxwell Xu, Alexander Moreno, Hui Wei et al.

Recall-Oriented Continual Learning with Generative Adversarial Meta-Model

Haneol Kang, Dong-Wan Choi

Recasting Regional Lighting for Shadow Removal

Yuhao Liu, Zhanghan Ke, Ke Xu et al.

RecDiffusion: Rectangling for Image Stitching with Diffusion Models

Tianhao Zhou, Li Haipeng, Ziyi Wang et al.

Receler: Reliable Concept Erasing of Text-to-Image Diffusion Models via Lightweight Erasers

Chi-Pin Huang, Kai-Po Chang, Chung-Ting Tsai et al.

Receptive Fields As Experts in Convolutional Neural Architectures

Dongze Lian, Weihao Yu, Xinchao Wang

Reclaiming the Source of Programmatic Policies: Programmatic versus Latent Spaces

Tales Carvalho, Kenneth Tjhia, Levi Lelis

Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera

Junwei Zhao, Shiliang Zhang, Zhaofei Yu et al.

RECOMBINER: Robust and Enhanced Compression with Bayesian Implicit Neural Representations

Jiajun He, Gergely Flamich, Zongyu Guo et al.

RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation

Fangyuan Xu, Weijia Shi, Eunsol Choi

ReconBoost: Boosting Can Achieve Modality Reconcilement

Cong Hua, Qianqian Xu, Shilong Bao et al.

Reconciling Predictive and Statistical Parity: A Causal Approach

Drago Plecko, Elias Bareinboim

Reconciling Spatial and Temporal Abstractions for Goal Representation

Mehdi Zadem, Sergio Mover, Sao Mai Nguyen

ReconFusion: 3D Reconstruction with Diffusion Priors

Rundi Wu, Ben Mildenhall, Philipp Henzler et al.

Reconstructing Hands in 3D with Transformers

Georgios Pavlakos, Dandan Shan, Ilija Radosavovic et al.

Reconstruction and Simulation of Elastic Objects with Spring-Mass 3D Gaussians

Licheng Zhong, Hong-Xing Yu, Jiajun Wu et al.

Reconstruction-free Cascaded Adaptive Compressive Sensing

Chenxi Qiu, Tao Yue, Xuemei Hu

ReCON: Training-Free Acceleration for Text-to-Image Synthesis with Retrieval of Concept Prompt Trajectories

Chen-yi Lu, Shubham Agarwal, Mehrab Tanjim et al.

ReCoRe: Regularized Contrastive Representation Learning of World Model

Rudra P, K. Poudel, Harit Pandya et al.

Recovering Labels from Local Updates in Federated Learning

Huancheng Chen, Haris Vikalo

Recovering the Pre-Fine-Tuning Weights of Generative Models

Eliahu Horwitz, Jonathan Kahana, Yedid Hoshen

Rectangle Search: An Anytime Beam Search

Sofia Lemons, Wheeler Ruml, Rob Holte et al.

Rectify the Regression Bias in Long-Tailed Object Detection

Ke Zhu, Minghao Fu, Jie Shao et al.

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

Ming Chang, Xishan Zhang, Rui Zhang et al.

Recurrent Distance Filtering for Graph Representation Learning

Yuhui Ding, Antonio Orvieto, Bobby He et al.

Recurrent Early Exits for Federated Learning with Heterogeneous Clients

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

Recurrent Graph Neural Networks and Their Connections to Bisimulation and Logic

Maximilian Pflüger, David Tena Cucala, Egor Kostylev

Recurrent Partial Kernel Network for Efficient Optical Flow Estimation

Recursive Generalization Transformer for Image Super-Resolution

Zheng Chen, Yulun Zhang, Jinjin Gu et al.

Recursive Visual Programming

Jiaxin Ge, Sanjay Subramanian, Baifeng Shi et al.

RedCore: Relative Advantage Aware Cross-Modal Representation Learning for Missing Modalities with Imbalanced Missing Rates

Jun Sun, Xinxin Zhang, Shoukang Han et al.

Redefining ABA+ Semantics via Abstract Set-to-Set Attacks

ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation

Nantian He, Shaohui Li, Zhi Li et al.

REDIR: Refocus-free Event-based De-occlusion Image Reconstruction

Qi Guo, Hailong Shi, Huan Li et al.