activity
20162025
most citedMMDetection: Open MMLab Detection Toolbox and Benchmark

794 citations · 2.4k across the 85 of their papers we have counts for

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Showing 2017Show all

9 papers · 1 filter

cs.CV201728 cited

Visual Question Generation as Dual Task of Visual Question Answering

Yikang Li, Nan Duan, Bolei Zhou +3

Recently visual question answering (VQA) and visual question generation (VQG) are two trending topics in the computer vision, which have been explored separately. In this work, we…

cs.CV201754 cited

Online Multi-Object Tracking Using CNN-based Single Object Tracker with Spatial-Temporal Attention Mechanism

Qi Chu, Wanli Ouyang, Hongsheng Li +3

In this paper, we propose a CNN-based framework for online MOT. This framework utilizes the merits of single object trackers in adapting appearance models and searching for target…

cs.CV201761 cited

Learning Feature Pyramids for Human Pose Estimation

Wei Yang, Shuang Li, Wanli Ouyang +2

Articulated human pose estimation is a fundamental yet challenging task in computer vision. The difficulty is particularly pronounced in scale variations of human body parts when c…

cs.CV201729 cited

Scene Graph Generation from Objects, Phrases and Region Captions

Yikang Li, Wanli Ouyang, Bolei Zhou +2

Object detection, scene graph generation and region captioning, which are three scene understanding tasks at different semantic levels, are tied together: scene graphs are generate…

cs.CV20173 cited

Learning Deep Representations for Scene Labeling with Semantic Context Guided Supervision

Zhe Wang, Hongsheng Li, Wanli Ouyang +1

Scene labeling is a challenging classification problem where each input image requires a pixel-level prediction map. Recently, deep-learning-based methods have shown their effectiv…

cs.CV201755 cited

Learning Spatial Regularization with Image-level Supervisions for Multi-label Image Classification

Feng Zhu, Hongsheng Li, Wanli Ouyang +2

Multi-label image classification is a fundamental but challenging task in computer vision. Great progress has been achieved by exploiting semantic relations between labels in recen…