Poster Papers
24,624 papers found • Page 336 of 493
Conference
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.
BurstM: Deep Burst Multi-scale SR using Fourier Space with Optical Flow
EungGu Kang, Byeonghun Lee, Sunghoon Im et al.
Butterfly Effects of SGD Noise: Error Amplification in Behavior Cloning and Autoregression
Adam Block, Dylan Foster, Akshay Krishnamurthy et al.
BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
Hoyong Choi, Nohyun Ki, Hye Won Chung
ByMI: Byzantine Machine Identification with False Discovery Rate Control
Chengde Qian, Mengyuan Wang, Haojie Ren et al.
ByteEdit: Boost, Comply and Accelerate Generative Image Editing
YUXI REN, Jie Wu, Yanzuo Lu et al.
Byzantine Resilient and Fast Federated Few-Shot Learning
Ankit Pratap Singh, Namrata Vaswani
Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game
Simin Li, Jun Guo, Jingqiao Xiu et al.
Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping
Peng Sun, Xinyang Liu, Zhibo Wang et al.
Byzantine-Robust Federated Learning: Impact of Client Subsampling and Local Updates
Youssef Allouah, Sadegh Farhadkhani, Rachid Guerraoui et al.
C2C: Component-to-Composition Learning for Zero-Shot Compositional Action Recognition
Rongchang Li, Zhenhua Feng, Tianyang Xu et al.
C^2RV: Cross-Regional and Cross-View Learning for Sparse-View CBCT Reconstruction
Yiqun Lin, Jiewen Yang, hualiang wang et al.
C3: High-Performance and Low-Complexity Neural Compression from a Single Image or Video
Hyunjik Kim, Matthias Bauer, Lucas Theis et al.
C3Net: Compound Conditioned ControlNet for Multimodal Content Generation
Juntao Zhang, Yuehuai LIU, Yu-Wing Tai et al.
Cache Me if You Can: Accelerating Diffusion Models through Block Caching
Felix Wimbauer, Bichen Wu, Edgar Schoenfeld et al.
CaDeT: a Causal Disentanglement Approach for Robust Trajectory Prediction in Autonomous Driving
Mozhgan Pourkeshavarz, Junrui Zhang, Amir Rasouli
CAD: Photorealistic 3D Generation via Adversarial Distillation
Ziyu Wan, Despoina Paschalidou, Ian Huang et al.
Caduceus: Bi-Directional Equivariant Long-Range DNA Sequence Modeling
Yair Schiff, Chia Hsiang Kao, Aaron Gokaslan et al.
CadVLM: Bridging Language and Vision in the Generation of Parametric CAD Sketches
Sifan Wu, Amir Hosein Khasahmadi, Mor Katz et al.
CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering
Haidong Zhu, Tianyu Ding, Tianyi Chen et al.
CAGE: Controllable Articulation GEneration
Jiayi Liu, Hou In Ivan Tam, Ali Mahdavi Amiri et al.
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification
Yiyu Chen, Zheyi Fan, Zhaoru Chen et al.
CaKDP: Category-aware Knowledge Distillation and Pruning Framework for Lightweight 3D Object Detection
Haonan Zhang, Longjun Liu, Yuqi Huang et al.
Calibrating Multi-modal Representations: A Pursuit of Group Robustness without Annotations
Chenyu You, Yifei Min, Weicheng Dai et al.
Calibration Bottleneck: Over-compressed Representations are Less Calibratable
Deng-Bao Wang, Min-Ling Zhang
CALICO: Self-Supervised Camera-LiDAR Contrastive Pre-training for BEV Perception
Jiachen Sun, Haizhong Zheng, Qingzhao Zhang et al.
Caltech Aerial RGB-Thermal Dataset in the Wild
Connor Lee, Matthew Anderson, Nikhil Ranganathan et al.
Cam4DOcc: Benchmark for Camera-Only 4D Occupancy Forecasting in Autonomous Driving Applications
Junyi Ma, Xieyuanli Chen, Jiawei Huang et al.
CAM Back Again: Large Kernel CNNs from a Weakly Supervised Object Localization Perspective
Shunsuke Yasuki, Masato Taki
CAMBranch: Contrastive Learning with Augmented MILPs for Branching
Jiacheng Lin, Meng XU, Zhihua Xiong et al.
CaM: Cache Merging for Memory-efficient LLMs Inference
Yuxin Zhang, Yuxuan Du, Gen Luo et al.
CAMEL: CAusal Motion Enhancement Tailored for Lifting Text-driven Video Editing
Guiwei Zhang, Tianyu Zhang, Guanglin Niu et al.
Camera Calibration using a Collimator System
Shunkun Liang, Banglei Guan, Zhenbao Yu et al.
Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation
Genki Kinoshita, Ko Nishino
Camera-LiDAR Cross-modality Gait Recognition
Wenxuan Guo, Yingping Liang, Zhiyu Pan et al.
Cameras as Rays: Pose Estimation via Ray Diffusion
Jason Zhang, Amy Lin, Moneish Kumar et al.
CAMixerSR: Only Details Need More "Attention"
Yan Wang, Yi Liu, Shijie Zhao et al.
CamoTeacher: Dual-Rotation Consistency Learning for Semi-Supervised Camouflaged Object Detection
Xunfa Lai, Zhiyu Yang, Jie Hu et al.
Can a Few Decide for Many? The Metric Distortion of Sortition
Ioannis Caragiannis, Evi Micha, Jannik Peters
Can AI Assistants Know What They Don't Know?
Qinyuan Cheng, Tianxiang Sun, Xiangyang Liu et al.
Can Biases in ImageNet Models Explain Generalization?
Paul Gavrikov, Janis Keuper
Candidate Label Set Pruning: A Data-centric Perspective for Deep Partial-label Learning
Shuo He, Chaojie Wang, Guowu Yang et al.