Search Results for author:
Found 8 papers, 4 papers with code
Asymmetric Feature Fusion for Image Retrieval
Then, a dynamic mixer is introduced to aggregate these features into compact embedding for efficient search.
I$^2$MD: 3D Action Representation Learning with Inter- and Intra-modal Mutual Distillation
Different from existing distillation solutions that transfer the knowledge of a pre-trained and fixed teacher to the student, in CMD, the knowledge is continuously updated and bidirectionally distilled between modalities during pre-training.
Text-Only Training for Visual Storytelling
Visual storytelling aims to generate a narrative based on a sequence of images, necessitating both vision-language alignment and coherent story generation.
UDoc-GAN: Unpaired Document Illumination Correction with Background Light Prior
To this end, we propose UDoc-GAN, the first framework to address the problem of document illumination correction under the unpaired setting.
A Parameter-free Nonconvex Low-rank Tensor Completion Model for Spatiotemporal Traffic Data Recovery
In this study, we proposed a Parameter-Free Non-Convex Tensor Completion model (TC-PFNC) for traffic data recovery, in which a log-based relaxation term was designed to approximate tensor algebraic rank.
CMD: Self-supervised 3D Action Representation Learning with Cross-modal Mutual Distillation
In this work, we formulate the cross-modal interaction as a bidirectional knowledge distillation problem.
Simultaneous Double Q-learning with Conservative Advantage Learning for Actor-Critic Methods
Actor-critic Reinforcement Learning (RL) algorithms have achieved impressive performance in continuous control tasks.
Coordinate-Aligned Multi-Camera Collaboration for Active Multi-Object Tracking
In our approach, we regard each camera as an agent and address AMOT with a multi-agent reinforcement learning solution.
