AAAI 2024 "transformer architecture" Papers
18 papers found
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification
Jiaer Xia, Lei Tan, Pingyang Dai et al.
AVSegFormer: Audio-Visual Segmentation with Transformer
Shengyi Gao, Zhe Chen, Guo Chen et al.
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA
Wentao Mo, Yang Liu
Correlation Matching Transformation Transformers for UHD Image Restoration
Cong Wang, Jinshan Pan, Wei Wang et al.
Exploring Transformer Extrapolation
Zhen Qin, Yiran Zhong, Hui Deng
GridFormer: Point-Grid Transformer for Surface Reconstruction
Shengtao Li, Ge Gao, Yudong Liu et al.
HDformer: A Higher
Dimensional Transformer for Detecting Diabetes Utilizing Long-Range Vascular Signals - Ella Lan
How to Protect Copyright Data in Optimization of Large Language Models?
Timothy Chu, Zhao Song, Chiwun Yang
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations
Yilan Dong, Chunlin Yu, Ruiyang Ha et al.
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
Jimmy Lin, Junkai Li, Jiasi Gao et al.
MASTER: Market-Guided Stock Transformer for Stock Price Forecasting
Tong Li, Zhaoyang Liu, Yanyan Shen et al.
Neural Reasoning about Agents’ Goals, Preferences, and Actions
Matteo Bortoletto, Lei Shi, Andreas Bulling
No More Shortcuts: Realizing the Potential of Temporal Self-Supervision
Ishan Rajendrakumar Dave, Simon Jenni, Mubarak Shah
SelfPromer: Self-Prompt Dehazing Transformers with Depth-Consistency
8137 Feiyu Zhu, Reid Simmons
SeTformer Is What You Need for Vision and Language
Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger et al.
Transformer-Based No-Reference Image Quality Assessment via Supervised Contrastive Learning
Jinsong Shi, Pan Gao, Jie Qin
VSFormer: Visual-Spatial Fusion Transformer for Correspondence Pruning
Tangfei Liao, Xiaoqin Zhang, Li Zhao et al.
X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos through Cross-Modal Knowledge Transfer
Linglin Jing, Ying Xue, Xu Yan et al.