794 citations · 2.6k across the 109 of their papers we have counts for
25 papers · 1 filter
Computation Reallocation for Object Detection
Feng Liang, Chen Lin, Ronghao Guo +4
The allocation of computation resources in the backbone is a crucial issue in object detection. However, classification allocation pattern is usually adopted directly to object det…
A Shape Transformation-based Dataset Augmentation Framework for Pedestrian Detection
Zhe Chen, Wanli Ouyang, Tongliang Liu +1
Deep learning-based computer vision is usually data-hungry. Many researchers attempt to augment datasets with synthesized data to improve model robustness. However, the augmentatio…
Learning 3D Human Shape and Pose from Dense Body Parts
Hongwen Zhang, Jie Cao, Guo Lu +2
Reconstructing 3D human shape and pose from monocular images is challenging despite the promising results achieved by the most recent learning-based methods. The commonly occurred…
TRB: A Novel Triplet Representation for Understanding 2D Human Body
Haodong Duan, KwanYee Lin, Sheng Jin +3
Human pose and shape are two important components of 2D human body. However, how to efficiently represent both of them in images is still an open question. In this paper, we propos…
Improving One-shot NAS by Suppressing the Posterior Fading
Xiang Li, Chen Lin, Chuming Li +4
There is a growing interest in automated neural architecture search (NAS). To improve the efficiency of NAS, previous approaches adopt weight sharing method to force all models sha…
IntersectGAN: Learning Domain Intersection for Generating Images with Multiple Attributes
Zehui Yao, Boyan Zhang, Zhiyong Wang +3
Generative adversarial networks (GANs) have demonstrated great success in generating various visual content. However, images generated by existing GANs are often of attributes (e.g…