2024 Poster Papers
8,865 papers found • Page 163 of 178
Towards Progressive Multi-Frequency Representation for Image Warping
Jun Xiao, Zihang Lyu, Cong Zhang et al.
Towards Realistic Model Selection for Semi-supervised Learning
Muyang Li, Xiaobo Xia, Runze Wu et al.
Towards Realistic Scene Generation with LiDAR Diffusion Models
Haoxi Ran, Vitor Guizilini, Yue Wang
Towards Real-World Adverse Weather Image Restoration: Enhancing Clearness and Semantics with Vision-Language Models
Jiaqi Xu, Mengyang Wu, Xiaowei Hu et al.
Towards Real-world Event-guided Low-light Video Enhancement and Deblurring
Taewoo Kim, Jaeseok Jeong, Hoonhee Cho et al.
Towards Real-World HDR Video Reconstruction: A Large-Scale Benchmark Dataset and A Two-Stage Alignment Network
Yong Shu, Liquan Shen, Xiangyu Hu et al.
Towards Reliable Advertising Image Generation Using Human Feedback
Zhenbang Du, Wei Feng, Haohan Wang et al.
Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models
Francesco Croce, Naman D. Singh, Matthias Hein
Towards Robust 3D Object Detection with LiDAR and 4D Radar Fusion in Various Weather Conditions
Yujeong Chae, Hyeonseong Kim, Kuk-Jin Yoon
Towards Robust 3D Pose Transfer with Adversarial Learning
Haoyu Chen, Hao Tang, Ehsan Adeli et al.
Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
Yaofo Chen, Shuaicheng Niu, Yaowei Wang et al.
Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translation
Yuhwan Jeong, Hoonhee Cho, Kuk-Jin Yoon
Towards Robust Event-guided Low-Light Image Enhancement: A Large-Scale Real-World Event-Image Dataset and Novel Approach
Guoqiang Liang, Kanghao Chen, Hangyu Li et al.
Towards Robust Full Low-bit Quantization of Super Resolution Networks
Denis Makhov, Irina Zhelavskaya, Ruslan Ostapets et al.
Towards Robust Learning to Optimize with Theoretical Guarantees
Qingyu Song, Wei Lin, Juncheng Wang et al.
Towards Robust Model-Based Reinforcement Learning Against Adversarial Corruption
Chenlu Ye, Jiafan He, Quanquan Gu et al.
Towards Robust Multi-Modal Reasoning via Model Selection
Xiangyan Liu, Rongxue LI, Wei Ji et al.
Towards Scalable 3D Anomaly Detection and Localization: A Benchmark via 3D Anomaly Synthesis and A Self-Supervised Learning Network
wenqiao Li, Xiaohao Xu, Yao Gu et al.
Towards Scalable and Versatile Weight Space Learning
Konstantin Schürholt, Michael Mahoney, Damian Borth
Towards Scene Graph Anticipation
Rohith Peddi, Saksham Singh, Saurabh . et al.
Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
Feng Lu, Lijun Zhang, Xiangyuan Lan et al.
Towards Stable 3D Object Detection
Jiabao Wang, Qiang Meng, Guochao Liu et al.
Towards Surveillance Video-and-Language Understanding: New Dataset Baselines and Challenges
Tongtong Yuan, Xuange Zhang, Kun Liu et al.
Towards Text-guided 3D Scene Composition
Qihang Zhang, Chaoyang Wang, Aliaksandr Siarohin et al.
Towards the Fundamental Limits of Knowledge Transfer over Finite Domains
Qingyue Zhao, Banghua Zhu
Towards Theoretical Understandings of Self-Consuming Generative Models
Shi Fu, Sen Zhang, Yingjie Wang et al.
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Ye Tian, Haolei Weng, Yang Feng
Towards the Uncharted: Density-Descending Feature Perturbation for Semi-supervised Semantic Segmentation
Xiaoyang Wang, Huihui Bai, Limin Yu et al.
Towards Training Without Depth Limits: Batch Normalization Without Gradient Explosion
Alexandru Meterez, Amir Joudaki, Francesco Orabona et al.
Towards Transferable Targeted 3D Adversarial Attack in the Physical World
Yao Huang, Yinpeng Dong, Shouwei Ruan et al.
Towards Transparent Time Series Forecasting
Krzysztof Kacprzyk, Tennison Liu, Mihaela van der Schaar
Toward Student-oriented Teacher Network Training for Knowledge Distillation
Chengyu Dong, Liyuan Liu, Jingbo Shang
Towards Understanding and Improving Adversarial Robustness of Vision Transformers
Samyak Jain, Tanima Dutta
Towards Understanding Cross and Self-Attention in Stable Diffusion for Text-Guided Image Editing
Bingyan Liu, Chengyu Wang, Tingfeng Cao et al.
Towards Understanding Inductive Bias in Transformers: A View From Infinity
Itay Lavie, Guy Gur-Ari, Zohar Ringel
Towards Understanding Sycophancy in Language Models
Mrinank Sharma, Meg Tong, Tomek Korbak et al.
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
Simone Bombari, Marco Mondelli
Towards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond
Tianxin Wei, Bowen Jin, Ruirui Li et al.
Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing
Guanghao Zheng, Yuchen Liu, Wenrui Dai et al.
Towards Variable and Coordinated Holistic Co-Speech Motion Generation
Yifei Liu, Qiong Cao, Yandong Wen et al.
Toward Tiny and High-quality Facial Makeup with Data Amplify Learning
Qiaoqiao Jin, Xuanhong Chen, Meiguang Jin et al.
TP2O: Creative Text Pair-to-Object Generation using Balance Swap-Sampling
Jun Li, Zedong Zhang, Jian Yang
TPA3D: Triplane Attention for Fast Text-to-3D Generation
Bin-Shih Wu, HONG-EN CHEN, Sheng-Yu Huang et al.
Traceable Federated Continual Learning
Qiang Wang, Bingyan Liu, Yawen Li
Track2Act: Predicting Point Tracks from Internet Videos enables Generalizable Robot Manipulation
Homanga Bharadhwaj, Roozbeh Mottaghi, Abhinav Gupta et al.
Trackastra: Transformer-based cell tracking for live-cell microscopy
Benjamin Gallusser, Weigert Martin
Track Everything Everywhere Fast and Robustly
Yunzhou Song, Jiahui Lei, Ziyun Wang et al.
Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
Liting Lin, Heng Fan, Zhipeng Zhang et al.
TrackNeRF: Bundle Adjusting NeRF from Sparse and Noisy Views via Feature Tracks
Jinjie Mai, Wenxuan Zhu, Sara Rojas Martinez et al.
Tractable MCMC for Private Learning with Pure and Gaussian Differential Privacy
Yingyu Lin, Yian Ma, Yu-Xiang Wang et al.