Papers
Bidirectional Temporal Plan Graph: Enabling Switchable Passing Orders for More Efficient Multi-Agent Path Finding Plan Execution
Yifan Su, Rishi Veerapaneni, Jiaoyang Li
Big Learning Expectation Maximization
Yulai Cong, Sijia Li
Bilateral Gradual Semantics for Weighted Argumentation
Zongshun Wang, Yuping Shen
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
Zhilin Huang, Ling Yang, Zaixi Zhang et al.
Biomedical Knowledge Graph Embedding with Householder Projection (Student Abstract)
Sensen Zhang, Xun Liang, Simin Niu et al.
BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials
Xingrun Xing, Li Du, Xinyuan Wang et al.
BirdCollect: A Comprehensive Benchmark for Analyzing Dense Bird Flock Attributes
Kshitiz ., Sonu Shreshtha, Bikash Dutta et al.
Bi-ViT: Pushing the Limit of Vision Transformer Quantization
Yanjing Li, Sheng Xu, Mingbao Lin et al.
BLADE: Box-Level Supervised Amodal Segmentation through Directed Expansion
Zhaochen Liu, Zhixuan Li, Tingting Jiang
Blind Face Restoration under Extreme Conditions: Leveraging 3D-2D Prior Fusion for Superior Structural and Texture Recovery
Zhengrui Chen, Liying Lu, Ziyang Yuan et al.
Blind-Touch: Homomorphic Encryption-Based Distributed Neural Network Inference for Privacy-Preserving Fingerprint Authentication
Hyunmin Choi, Simon S. Woo, Hyoungshick Kim
BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling
Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham et al.
BLIVA: A Simple Multimodal LLM for Better Handling of Text-Rich Visual Questions
Wenbo Hu, Yifan Xu, Yi Li et al.
Block Image Compressive Sensing with Local and Global Information Interaction
Xiaoyu Kong, Yongyong Chen, Feng Zheng et al.
Block-Level Goal Recognition Design
Tsz-Chiu Au
BOK-VQA: Bilingual outside Knowledge-Based Visual Question Answering via Graph Representation Pretraining
MinJun Kim, SeungWoo Song, YouHan Lee et al.
Boosting Adversarial Transferability across Model Genus by Deformation-Constrained Warping
Qinliang Lin, Cheng Luo, Zenghao Niu et al.
Boosting Few-Shot Learning via Attentive Feature Regularization
Xingyu Zhu, Shuo Wang, Jinda Lu et al.
Boosting Multiple Instance Learning Models for Whole Slide Image Classification: A Model-Agnostic Framework Based on Counterfactual Inference
Weiping Lin, Zhenfeng Zhuang, Lequan Yu et al.
Boosting Neural Cognitive Diagnosis with Student’s Affective State Modeling
Shanshan Wang, Zhen Zeng, Xun Yang et al.
Boosting Residual Networks with Group Knowledge
Shengji Tang, Peng Ye, Baopu Li et al.
Bootstrapping Cognitive Agents with a Large Language Model
Feiyu Zhu, Reid Simmons
Bootstrapping Large Language Models for Radiology Report Generation
Chang Liu, Yuanhe Tian, Weidong Chen et al.
Box2Poly: Memory-Efficient Polygon Prediction of Arbitrarily Shaped and Rotated Text
Xuyang Chen, Dong Wang, Konrad Schindler et al.