Papers
Learnable Query-Enhanced Pose Transformation
Yi-Zhen Wang, Hong-Han Shuai
Learner-Tailored Program Repair: A Solution Generator with Iterative Edit-Driven Retrieval Enhancement
Zhenlong Dai, Zhuoluo Zhao, Hengning Wang et al.
Learn from Global Correlations: Enhancing Evolutionary Algorithm via Spectral GNN
Kaichen Ouyang, Zong Ke, Shengwei Fu et al.
Learngene: Inheritable ‘Genes’ in Intelligent Agents (Abstract Reprint)
Fu Feng, Jing Wang, Xu Yang et al.
Learning 3D Occupancy from Beam Overlap in 2D Rotating mmWave Radar
Yu Du, Ruifeng Nie, Long Ma et al.
Learning 3D Texture-Aware Representations for Parsing Diverse Human Clothing and Body Parts
Kiran Chhatre, Christopher E. Peters, Srikrishna Karanam
Learning Action Hierarchies via Hybrid Geometric Diffusion
Arjun Ramesh Kaushik, Nalini K. Ratha, Venu Govindaraju
Learning Adaptive and Expandable Mixture Model for Continual Learning
Fei Ye, YongCheng Zhong, Qihe Liu et al.
Learning a Fix and Explore Framework for Continuous Generalized Category Discovery
Chunming Li, Shidong Wang, Haofeng Zhang
Learning-Augmented Ski Rental with Discrete Distribution: A Bayesian Approach
Bosun Kang, Hyejun Park, Chenglin Fan
Learning Better UAV-Based Cross-View Object Geo-Localization from Multi-Modal Prompts: MoP-UAV Benchmark and MoPT Framework
Xiaohan Zhang, Zhangkai Shen, Si-Yuan Cao et al.
Learning Beyond Domains: Misleading Prompts and Pseudo-Label Contrast for Text Domain Generalization
Qizhi Li, Xuyang Wang, Yingke Chen et al.
Learning Beyond Labels: Self-Supervised Handwritten Text Recognition
Shree Mitra, Ajoy Mondal, C.V. Jawahar
Learning Beyond Vision: Vision-Language Distillation and Edge-Aware Mix Diffusion in Semi-Supervised Semantic Segmentation
Rui Yang, Yunfei Bai, Yuehua Liu et al.
Learning Branching Policies for MILPs with Proximal Policy Optimization
Abdelouahed Ben Mhamed, Assia Kamal Idrissi, Amal Seghrouchni
Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
Mengran Li, Zelin Zang, Wenbin Xing et al.
Learning Compact Latent Space for Representing Neural Signed Distance Functions with High-fidelity Geometry Details
Qiang Bai, Bojian Wu, Xi Yang et al.
Learning Compact Video Representations for Efficient Long-form Video Understanding in Large Multimodal Models
Yuxiao Chen, Jue Wang, Zhikang Zhang et al.
Learning Conjugate Direction Fields for Planar Quadrilateral Mesh Generation
Jiong Tao, Yong-Liang Yang, Bailin Deng
Learning Depth from Past Selves: Self-Evolution Contrast for Robust Depth Estimation
Jing Cao, Kui Jiang, Shenyi Li et al.
Learning DFAs from Positive Examples Only via Word Counting
Benjamin Bordais, Daniel Neider
Learning Diffusion Policy from Primitive Skills for Robot Manipulation
Zhihao Gu, Ming Yang, Difan Zou et al.
Learning Diverse Bimanual Dexterous Manipulation Skills from Human Demonstrations
Bohan Zhou, Haoqi Yuan, Yuhui Fu et al.
Learning Droplet Dynamics on Rough Unstructured Surfaces Using Physics-Informed Neural Networks (Student Abstract)
Ganesh Sahadeo Meshram, Partha Pratim Chakrabarti, Suman Chakraborty
Learning Dynamics as Feedback: An Adaptive Entropy Flow Dynamics Framework for Long-tailed Human Action Recognition
Yuan Dong, Zhe Zhao, Liheng Yu et al.