2024 Poster Papers
8,865 papers found • Page 20 of 178
Box Facets and Cut Facets of Lifted Multicut Polytopes
Lucas Fabian Naumann, Jannik Irmai, Shengxian Zhao et al.
Boximator: Generating Rich and Controllable Motions for Video Synthesis
Jiawei Wang, Yuchen Zhang, Jiaxin Zou et al.
BRAIn: Bayesian Reward-conditioned Amortized Inference for natural language generation from feedback
Gaurav Pandey, Yatin Nandwani, Tahira Naseem et al.
Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
Peirong Liu, Oula Puonti, Xiaoling Hu et al.
Brain Netflix: Scaling Data to Reconstruct Videos from Brain Signals
Camilo Fosco, Benjamin Lahner, Bowen Pan et al.
BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity
Andrew Luo, Maggie Henderson, Michael Tarr et al.
BrainWash: A Poisoning Attack to Forget in Continual Learning
Ali Abbasi, Parsa Nooralinejad, Hamed Pirsiavash et al.
Branch-GAN: Improving Text Generation with (not so) Large Language Models
Fredrik Carlsson, Johan Broberg, Erik Hillbom et al.
BRAVE: Broadening the visual encoding of vision-language models
Oguzhan Fatih Kar, Alessio Tonioni, Petra Poklukar et al.
Breadth-First Exploration on Adaptive Grid for Reinforcement Learning
Youngsik Yoon, Gangbok Lee, Sungsoo Ahn et al.
Breaking Physical and Linguistic Borders: Multilingual Federated Prompt Tuning for Low-Resource Languages
Wanru Zhao, Yihong Chen, Royson Lee et al.
Breaking the Barrier: Enhanced Utility and Robustness in Smoothed DRL Agents
Chung-En Sun, Sicun Gao, Lily Weng
Breaking through the learning plateaus of in-context learning in Transformer
Jingwen Fu, Tao Yang, Yuwang Wang et al.
Break the Sequential Dependency of LLM Inference Using Lookahead Decoding
Yichao Fu, Peter Bailis, Ion Stoica et al.
BRIDGE: Bridging Gaps in Image Captioning Evaluation with Stronger Visual Cues
Sara Sarto, Marcella Cornia, Lorenzo Baraldi et al.
Bridge Past and Future: Overcoming Information Asymmetry in Incremental Object Detection
QIJIE MO, Yipeng Gao, Shenghao Fu et al.
Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation
Shihao Zhao, Shaozhe Hao, Bojia Zi et al.
Bridging discrete and continuous state spaces: Exploring the Ehrenfest process in time-continuous diffusion models
Ludwig Winkler, Lorenz Richter, Manfred Opper
Bridging Environments and Language with Rendering Functions and Vision-Language Models
Théo Cachet, Christopher Dance, Olivier Sigaud
Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses
Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos et al.
Bridging Model Heterogeneity in Federated Learning via Uncertainty-based Asymmetrical Reciprocity Learning
Jiaqi Wang, Chenxu Zhao, Lingjuan Lyu et al.
Bridging Neural and Symbolic Representations with Transitional Dictionary Learning
Junyan Cheng, Peter Chin
Bridging Remote Sensors with Multisensor Geospatial Foundation Models
Boran Han, Shuai Zhang, Xingjian Shi et al.
Bridging State and History Representations: Understanding Self-Predictive RL
Tianwei Ni, Benjamin Eysenbach, Erfan Seyedsalehi et al.
Bridging Synthetic and Real Worlds for Pre-training Scene Text Detectors
Tongkun Guan, Wei Shen, Xue Yang et al.
Bridging the Gap: A Unified Video Comprehension Framework for Moment Retrieval and Highlight Detection
Yicheng Xiao, Zhuoyan Luo, Yong Liu et al.
Bridging the Gap Between End-to-End and Two-Step Text Spotting
Mingxin Huang, Hongliang Li, Yuliang Liu et al.
Bridging the Gap Between Human Motion and Action Semantics via Kinematics Phrases
Xinpeng Liu, Yong-Lu Li, AILING ZENG et al.
Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture
ShahRukh Athar, Shunsuke Saito, Stanislav Pidhorskyi et al.
Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data
Zhengfeng Lai, Joohi Chauhan, Brittany N. Dugger et al.
Bridging the Synthetic-to-Authentic Gap: Distortion-Guided Unsupervised Domain Adaptation for Blind Image Quality Assessment
Aobo Li, Jinjian Wu, Yongxu Liu et al.
Bridging Vision and Language Spaces with Assignment Prediction
Jungin Park, Jiyoung Lee, Kwanghoon Sohn
Bring Event into RGB and LiDAR: Hierarchical Visual-Motion Fusion for Scene Flow
Hanyu Zhou, Yi Chang, Zhiwei Shi
Bringing Motion Taxonomies to Continuous Domains via GPLVM on Hyperbolic manifolds
Noémie Jaquier, Leonel Rozo, Miguel González-Duque et al.
Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel
Uri Gadot, Kaixin Wang, Navdeep Kumar et al.
BroGNet: Momentum-Conserving Graph Neural Stochastic Differential Equation for Learning Brownian Dynamics
Suresh Suresh, Jayadeva Jayadeva, Sayan Ranu et al.
Brush2Prompt: Contextual Prompt Generator for Object Inpainting
Mang Tik Chiu, Yuqian Zhou, Lingzhi Zhang et al.
∞-Brush: Controllable Large Image Synthesis with Diffusion Models in Infinite Dimensions
Minh Quan Le, Alexandros Graikos, Srikar Yellapragada et al.
BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion
Xuan JU, Xian Liu, Xintao Wang et al.
BRUSLEATTACK: A QUERY-EFFICIENT SCORE- BASED BLACK-BOX SPARSE ADVERSARIAL ATTACK
Quoc Viet Vo, Ehsan Abbasnejad, Damith Ranasinghe
BSNet: Box-Supervised Simulation-assisted Mean Teacher for 3D Instance Segmentation
Jiahao Lu, Jiacheng Deng, Tianzhu Zhang
BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning
Ruyang Liu, Chen Li, Yixiao Ge et al.
Bucketed Ranking-based Losses for Efficient Training of Object Detectors
Feyza Yavuz, Baris Can Cam, Adnan Harun Dogan et al.
BugNIST - a Large Volumetric Dataset for Detection under Domain Shift
Patrick Jensen, Vedrana Dahl, Rebecca Engberg et al.
Building a Strong Pre-Training Baseline for Universal 3D Large-Scale Perception
Haoming Chen, Zhizhong Zhang, Yanyun Qu et al.
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model
Runmin Dong, Shuai Yuan, Bin Luo et al.
Building Cooperative Embodied Agents Modularly with Large Language Models
Hongxin Zhang, Weihua Du, Jiaming Shan et al.
Building Optimal Neural Architectures using Interpretable Knowledge
Keith Mills, Fred Han, Mohammad Salameh et al.
Building Socially-Equitable Public Models
Yejia Liu, Jianyi Yang, Pengfei Li et al.
Building Vision-Language Models on Solid Foundations with Masked Distillation
Sepehr Sameni, Kushal Kafle, Hao Tan et al.