Summary of Bootstraping Clustering Of Gaussians For View-consistent 3d Scene Understanding, by Wenbo Zhang et al.
Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understandingby Wenbo Zhang, Lu Zhang, Ping Hu,…
Summary of Videoorion: Tokenizing Object Dynamics in Videos, by Yicheng Feng et al.
VideoOrion: Tokenizing Object Dynamics in Videosby Yicheng Feng, Yijiang Li, Wanpeng Zhang, Hao Luo, Zihao…
Summary of Headrouter: a Training-free Image Editing Framework For Mm-dits by Adaptively Routing Attention Heads, By Yu Xu et al.
HeadRouter: A Training-free Image Editing Framework for MM-DiTs by Adaptively Routing Attention Headsby Yu Xu,…
Summary of Teaching Mlps to Master Heterogeneous Graph-structured Knowledge For Efficient and Accurate Inference, by Yunhui Liu et al.
Teaching MLPs to Master Heterogeneous Graph-Structured Knowledge for Efficient and Accurate Inferenceby Yunhui Liu, Xinyi…
Summary of Long-tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstruction, by Chen-long Duan et al.
Long-Tailed Object Detection Pre-training: Dynamic Rebalancing Contrastive Learning with Dual Reconstructionby Chen-Long Duan, Yong Li,…
Summary of Provably Transformers Harness Multi-concept Word Semantics For Efficient In-context Learning, by Dake Bu et al.
Provably Transformers Harness Multi-Concept Word Semantics for Efficient In-Context Learningby Dake Bu, Wei Huang, Andi…
Summary of Bootstrapping Top-down Information For Self-modulating Slot Attention, by Dongwon Kim et al.
Bootstrapping Top-down Information for Self-modulating Slot Attentionby Dongwon Kim, Seoyeon Kim, Suha KwakFirst submitted to…
Summary of Leveraging Label Semantics and Meta-label Refinement For Multi-label Question Classification, by Shi Dong and Xiaobei Niu and Rui Zhong and Zhifeng Wang and Mingzhang Zuo
Leveraging Label Semantics and Meta-Label Refinement for Multi-Label Question Classificationby Shi Dong, Xiaobei Niu, Rui…
Summary of Aad-llm: Adaptive Anomaly Detection Using Large Language Models, by Alicia Russell-gilbert et al.
AAD-LLM: Adaptive Anomaly Detection Using Large Language Modelsby Alicia Russell-Gilbert, Alexander Sommers, Andrew Thompson, Logan…
Summary of Mobility-llm: Learning Visiting Intentions and Travel Preferences From Human Mobility Data with Large Language Models, by Letian Gong et al.
Mobility-LLM: Learning Visiting Intentions and Travel Preferences from Human Mobility Data with Large Language Modelsby…