Poster Papers
24,624 papers found • Page 341 of 493
Conference
CNN Kernels Can Be the Best Shapelets
Eric Qu, Yansen Wang, Xufang Luo et al.
CN-RMA: Combined Network with Ray Marching Aggregation for 3D Indoor Object Detection from Multi-view Images
Guanlin Shen, Jingwei Huang, Zhihua Hu et al.
Coactive Learning for Large Language Models using Implicit User Feedback
Aaron D. Tucker, Kianté Brantley, Adam Cahall et al.
COALA: A Practical and Vision-Centric Federated Learning Platform
Weiming Zhuang, Jian Xu, Chen Chen et al.
Coarse-to-Fine Highlighting: Reducing Knowledge Hallucination in Large Language Models
Qitan Lv, Jie Wang, Hanzhu Chen et al.
Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single RGB-D Image
Xingyu Liu, Pengfei Ren, Jingyu Wang et al.
Coarse-To-Fine Tensor Trains for Compact Visual Representations
Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen et al.
CoBIT: A Contrastive Bi-directional Image-Text Generation Model
Haoxuan You, Xiaoyue Guo, Zhecan Wang et al.
Cocktail Universal Adversarial Attack on Deep Neural Networks
Shaoxin Li, Xiaofeng Liao, Xin Che et al.
COCONut: Modernizing COCO Segmentation
Xueqing Deng, Qihang Yu, Peng Wang et al.
COCO-Periph: Bridging the Gap Between Human and Machine Perception in the Periphery
Anne Harrington, Vasha DuTell, Mark Hamilton et al.
CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning
Ziyang Gong, FuHao Li, Yupeng Deng et al.
CoDe: An Explicit Content Decoupling Framework for Image Restoration
Enxuan Gu, Hongwei Ge, Yong Guo
Codebook Features: Sparse and Discrete Interpretability for Neural Networks
Alex Tamkin, Mohammad Taufeeque, Noah Goodman
Codebook Transfer with Part-of-Speech for Vector-Quantized Image Modeling
Baoquan Zhang, Huaibin Wang, Luo Chuyao et al.
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
Hung Le, Hailin Chen, Amrita Saha et al.
CodedEvents: Optimal Point-Spread-Function Engineering for 3D-Tracking with Event Cameras
Sachin Shah, Matthew Chan, Haoming Cai et al.
CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Natasha Butt, Blazej Manczak, Auke Wiggers et al.
CODE REPRESENTATION LEARNING AT SCALE
Dejiao Zhang, Wasi Ahmad, Ming Tan et al.
CoDi: Conditional Diffusion Distillation for Higher-Fidelity and Faster Image Generation
Kangfu Mei, Mauricio Delbracio, Hossein Talebi et al.
COD: Learning Conditional Invariant Representation for Domain Adaptation Regression
Hao-Ran Yang, Chuan-Xian Ren, You-Wei Luo
CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering
Shaowei Wang, Lingling Zhang, Longji Zhu et al.
CoGS: Controllable Gaussian Splatting
Heng Yu, Joel Julin, Zoltán Á. Milacski et al.
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion
Wendi Zheng, Jiayan Teng, Zhuoyi Yang et al.
CoherentGS: Sparse Novel View Synthesis with Coherent 3D Gaussians
Avinash Paliwal, Wei Ye, Jinhui Xiong et al.
Coherent Temporal Synthesis for Incremental Action Segmentation
Guodong Ding, Hans Golong, Angela Yao
COHO: Context-Sensitive City-Scale Hierarchical Urban Layout Generation
Liu He, Daniel Aliaga
COIN: Control-Inpainting Diffusion Prior for Human and Camera Motion Estimation
Jiefeng Li, Ye Yuan, Davis Rempe et al.
COIN-Matting: Confounder Intervention for Image Matting
Zhaohe Liao, Jiangtong Li, Jun Lan et al.
CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection
Shuang Hao, Chunlin Zhong, He Tang
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
Xingang Guo, Fangxu Yu, Huan Zhang et al.
CoLeaF: A Contrastive-Collaborative Learning Framework for Weakly Supervised Audio-Visual Video Parsing
Faegheh Sardari, Armin Mustafa, Philip JB Jackson et al.
COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
Mintong Kang, Nezihe Merve Gürel, Linyi Li et al.
CoLiDE: Concomitant Linear DAG Estimation
Seyed Saman Saboksayr, Gonzalo Mateos, Mariano Tepper
Collaborating Foundation Models for Domain Generalized Semantic Segmentation
Yasser Benigmim, Subhankar Roy, Slim Essid et al.
Collaborative Control for Geometry-Conditioned PBR Image Generation
Shimon Vainer, Mark Boss, Mathias Parger et al.
Collaborative Heterogeneous Causal Inference Beyond Meta-analysis
Tianyu Guo, Sai Praneeth Karimireddy, Michael Jordan
Collaborative Learning of Anomalies with Privacy (CLAP) for Unsupervised Video Anomaly Detection: A New Baseline
Anas Al-lahham, Muhammad Zaigham Zaheer, Nurbek Tastan et al.
Collaborative Learning with Different Labeling Functions
yuyang deng, Mingda Qiao
Collaborative Semantic Occupancy Prediction with Hybrid Feature Fusion in Connected Automated Vehicles
Rui Song, Chenwei Liang, Hu Cao et al.
Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation
Siyu Jiao, hongguang Zhu, Yunchao Wei et al.
Collage: Light-Weight Low-Precision Strategy for LLM Training
Tao Yu, Gaurav Gupta, KARTHICK GOPALSWAMY et al.
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
Qiwei Tian, Chenhao Lin, Zhengyu Zhao et al.
Collective Certified Robustness against Graph Injection Attacks
Yuni Lai, Bailin PAN, kaihuang CHEN et al.
COLLIE: Systematic Construction of Constrained Text Generation Tasks
Shunyu Yao, Howard Chen, Austin Hanjie et al.
CoLoRA: Continuous low-rank adaptation for reduced implicit neural modeling of parameterized partial differential equations
Jules Berman, Benjamin Peherstorfer
ColorMAE: Exploring data-independent masking strategies in Masked AutoEncoders
Carlos Hinojosa, Shuming Liu, Bernard Ghanem
ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization
Yixin Yang, Jiangxin Dong, Jinhui Tang et al.
ColorPCR: Color Point Cloud Registration with Multi-Stage Geometric-Color Fusion
Juncheng Mu, Lin Bie, Shaoyi Du et al.
ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape Disentanglement
Muhammad Atif Butt, Kai Wang, Javier Vazquez-Corral et al.