Search Results for author:
Found 6 papers, 3 papers with code
SeCo: Separating Unknown Musical Visual Sounds with Consistency Guidance
Recent years have witnessed the success of deep learning on the visual sound separation task.
PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop
Regression-based methods have recently shown promising results in reconstructing human meshes from monocular images.
Ranked #5 on
3D Human Pose Estimation
on AGORA
(using extra training data)
3D human pose and shape estimation
3D Human Reconstruction
+2
BriNet: Towards Bridging the Intra-class and Inter-class Gaps in One-Shot Segmentation
(2) The object categories at the training and inference stages have no overlap, leaving the inter-class gap.
Cheaper Pre-training Lunch: An Efficient Paradigm for Object Detection
In this paper, we propose a general and efficient pre-training paradigm, Montage pre-training, for object detection.
MagnifierNet: Towards Semantic Adversary and Fusion for Person Re-identification
Meanwhile, we introduce "Semantic Fusion Branch" to filter out irrelevant noises by selectively fusing semantic region information sequentially.
EcoNAS: Finding Proxies for Economical Neural Architecture Search
While many methods have been proposed to improve the efficiency of NAS, the search progress is still laborious because training and evaluating plausible architectures over large search space is time-consuming.
