Search Results for author:
Found 8 papers, 5 papers with code
Situation and Behavior Understanding by Trope Detection on Films
Experimental result demonstrates that modern models including BERT contextual embedding, movie tag prediction systems, and relational networks, perform at most 37% of human performance (23. 97/64. 87) in terms of F1 score.
End-to-End Video Question-Answer Generation with Generator-Pretester Network
Furthermore, using our generated QA pairs only on the Video QA task, we can surpass some supervised baselines.
GDN: A Coarse-To-Fine (C2F) Representation for End-To-End 6-DoF Grasp Detection
We proposed an end-to-end grasp detection network, Grasp Detection Network (GDN), cooperated with a novel coarse-to-fine (C2F) grasp representation design to detect diverse and accurate 6-DoF grasps based on point clouds.
Unified Representation Learning for Cross Model Compatibility
We propose a unified representation learning framework to address the Cross Model Compatibility (CMC) problem in the context of visual search applications.
xCos: An Explainable Cosine Metric for Face Verification Task
We study the XAI (explainable AI) on the face recognition task, particularly the face verification here.
Explainable Artificial Intelligence (XAI)
Face Recognition
+1
Learnable Gated Temporal Shift Module for Deep Video Inpainting
How to efficiently utilize temporal information to recover videos in a consistent way is the main issue for video inpainting problems.
Ranked #7 on
Video Inpainting
on YouTube-VOS 2018
Free-form Video Inpainting with 3D Gated Convolution and Temporal PatchGAN
Free-form video inpainting is a very challenging task that could be widely used for video editing such as text removal.
VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal
Video object removal is a challenging task in video processing that often requires massive human efforts.
