Poster Papers
24,624 papers found • Page 445 of 493
Conference
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Victoria Lin, Xilun Chen, Mingda Chen et al.
RadSimReal: Bridging the Gap Between Synthetic and Real Data in Radar Object Detection With Simulation
Oded Bialer, Yuval Haitman
RaFE: Generative Radiance Fields Restoration
Zhongkai Wu, Ziyu Wan, Jing Zhang et al.
Raidar: geneRative AI Detection viA Rewriting
Chengzhi Mao, Carl Vondrick, Hao Wang et al.
Raindrop Clarity: A Dual-Focused Dataset for Day and Night Raindrop Removal
Yeying Jin, Xin Li, Jiadong Wang et al.
RAIN: Your Language Models Can Align Themselves without Finetuning
Yuhui Li, Fangyun Wei, Jinjing Zhao et al.
Raising the Ceiling: Conflict-Free Local Feature Matching with Dynamic View Switching
Xiaoyong Lu, Songlin Du
RAM-Avatar: Real-time Photo-Realistic Avatar from Monocular Videos with Full-body Control
xiang deng, Zerong Zheng, Yuxiang Zhang et al.
Random Entangled Tokens for Adversarially Robust Vision Transformer
Huihui Gong, Minjing Dong, Siqi Ma et al.
Random Exploration in Bayesian Optimization: Order-Optimal Regret and Computational Efficiency
Sudeep Salgia, Sattar Vakili, Qing Zhao
Random Feature Amplification: Feature Learning and Generalization in Neural Networks
Spencer Frei, Niladri Chatterji, Peter L. Bartlett
Random features models: a way to study the success of naive imputation
Alexis Ayme, Claire Boyer, Aymeric Dieuleveut et al.
Randomized Confidence Bounds for Stochastic Partial Monitoring
Maxime Heuillet, Ola Ahmad, Audrey Durand
Random Latent Exploration for Deep Reinforcement Learning
Srinath Mahankali, Zhang-Wei Hong, Ayush Sekhari et al.
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Jing Xu, Jingzhao Zhang
Random matrix theory improved Fréchet mean of symmetric positive definite matrices
Florent Bouchard, Ammar Mian, Malik TIOMOKO et al.
Random Scaling and Momentum for Non-smooth Non-convex Optimization
Qinzi Zhang, Ashok Cutkosky
Random Sparse Lifts: Construction, Analysis and Convergence of finite sparse networks
David Robin, Kevin Scaman, marc lelarge
Random Walk on Pixel Manifolds for Anomaly Segmentation of Complex Driving Scenes
Zelong Zeng, Kaname Tomite
RangeLDM: Fast Realistic LiDAR Point Cloud Generation
Qianjiang Hu, Zhimin Zhang, Wei Hu
RankED: Addressing Imbalance and Uncertainty in Edge Detection Using Ranking-based Losses
bedrettin cetinkaya, Sinan Kalkan, Emre Akbas
Ranking-based Client Imitation Selection for Efficient Federated Learning
Chunlin Tian, Zhan Shi, Xinpeng Qin et al.
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
Tianming Liang, Chaolei Tan, Beihao Xia et al.
RankMatch: Exploring the Better Consistency Regularization for Semi-supervised Semantic Segmentation
Huayu Mai, Rui Sun, Tianzhu Zhang et al.
RankSEG: A Consistent Ranking-based Framework for Segmentation
Ben Dai, Chunlin Li
Ranni: Taming Text-to-Image Diffusion for Accurate Instruction Following
Yutong Feng, Biao Gong, Di Chen et al.
RANRAC: Robust Neural Scene Representations via Random Ray Consensus
Benno Buschmann, Andreea Dogaru, Elmar Eisemann et al.
Rapid Learning without Catastrophic Forgetting in the Morris Water Maze
Raymond L Wang, Jaedong Hwang, Akhilan Boopathy et al.
Rapid Motor Adaptation for Robotic Manipulator Arms
Yichao Liang, Kevin Ellis, João F. Henriques
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
Luis Li, Hubert P. H. Shum, Toby P Breckon
RAPPER: Reinforced Rationale-Prompted Paradigm for Natural Language Explanation in Visual Question Answering
Kai-Po Chang, Chi-Pin Huang, Wei-Yuan Cheng et al.
RAP: Retrieval-Augmented Planner for Adaptive Procedure Planning in Instructional Videos
Ali Zare, Yulei Niu, Hammad Ayyubi et al.
RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
Parth Sarthi, Salman Abdullah, Aditi Tuli et al.
Rasterized Edge Gradients: Handling Discontinuities Differentially
Stanislav Pidhorskyi, Tomas Simon, Gabriel Schwartz et al.
Rate-Distortion-Cognition Controllable Versatile Neural Image Compression
Jinming Liu, Ruoyu Feng, Yunpeng Qi et al.
Rate-Optimal Policy Optimization for Linear Markov Decision Processes
Uri Sherman, Alon Cohen, Tomer Koren et al.
RAUCA: A Novel Physical Adversarial Attack on Vehicle Detectors via Robust and Accurate Camouflage Generation
Jiawei Zhou, Linye Lyu, Daojing He et al.
RAVE: Residual Vector Embedding for CLIP-Guided Backlit Image Enhancement
Tatiana Gaintseva, Martin Benning, Greg Slabaugh
RAW-Adapter: Adapting Pretrained Visual Model to Camera RAW Images
Ziteng Cui, Tatsuya Harada
Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs
Georgy Perevozchikov, Nancy Mehta, Mahmoud Afifi et al.
Ray Denoising: Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection
Feng Liu, Tengteng Huang, Qianjing Zhang et al.
Ray-Distance Volume Rendering for Neural Scene Reconstruction
Ruihong Yin, Yunlu Chen, Sezer Karaoglu et al.
Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
Xiangyu Dong, Xingyi Zhang, Sibo WANG
R&B: Region and Boundary Aware Zero-shot Grounded Text-to-image Generation
Jiayu Xiao, Henglei Lv, Henglei Lv et al.
RCBEVDet: Radar-camera Fusion in Bird's Eye View for 3D Object Detection
Zhiwei Lin, Zhe Liu, Zhongyu Xia et al.
RCL: Reliable Continual Learning for Unified Failure Detection
Fei Zhu, Zhen Cheng, Xu-Yao Zhang et al.
RCooper: A Real-world Large-scale Dataset for Roadside Cooperative Perception
Ruiyang Hao, Siqi Fan, Yingru Dai et al.
RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-based Continual Learning
Longrong Yang, Hanbin Zhao, Yunlong Yu et al.
R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization
Kennard Chan, Fayao Liu, Guosheng Lin et al.
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
Cheng Tan, Yijie Zhang, Zhangyang Gao et al.