Papers
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.
Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract)
Ruoyu Xu, Zhenyu Xu, Gaoxiang Li et al.
Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need
Jiaxuan Chen, Yu Qi, Yueming Wang et al.
Brush Your Text: Synthesize Any Scene Text on Images via Diffusion Model
Lingjun Zhang, Xinyuan Chen, Yaohui Wang et al.
B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation
Hao Wang, Qiang Song, Ruofeng Yin et al.
Building Conversational Artifacts to Enable Digital Assistant for APIs and RPAs
Jayachandu Bandlamudi, Kushal Mukherjee, Prerna Agarwal et al.
Building Higher-Order Abstractions from the Components of Recommender Systems
Serdar Kadıoğlu, Bernard Kleynhans
Building Minimal and Reusable Causal State Abstractions for Reinforcement Learning
Zizhao Wang, Caroline Wang, Xuesu Xiao et al.
Building Variable-Sized Models via Learngene Pool
Boyu Shi, Shiyu Xia, Xu Yang et al.