activity
20172025
most citedDark, Beyond Deep: A Paradigm Shift to Cognitive AI with Humanlike Common Sense

137 citations · 206 across the 12 of their papers we have counts for

collaborators
Showing cs.CVShow all

11 papers · 1 filter

cs.CV202310 cited

E^2VPT: An Effective and Efficient Approach for Visual Prompt Tuning

Cheng Han, Qifan Wang, Yiming Cui +4

As the size of transformer-based models continues to grow, fine-tuning these large-scale pretrained vision models for new tasks has become increasingly parameter-intensive. Paramet…

cs.CV2020

Cascaded Human-Object Interaction Recognition

Tianfei Zhou, Wenguan Wang, Siyuan Qi +2

Rapid progress has been witnessed for human-object interaction (HOI) recognition, but most existing models are confined to single-stage reasoning pipelines. Considering the intrins…

cs.CV20207 cited

Learning Compositional Neural Information Fusion for Human Parsing

Wenguan Wang, Zhijie Zhang, Siyuan Qi +3

This work proposes to combine neural networks with the compositional hierarchy of human bodies for efficient and complete human parsing. We formulate the approach as a neural infor…

cs.CV201918 cited

PerspectiveNet: 3D Object Detection from a Single RGB Image via Perspective Points

Siyuan Huang, Yixin Chen, Tao Yuan +3

Detecting 3D objects from a single RGB image is intrinsically ambiguous, thus requiring appropriate prior knowledge and intermediate representations as constraints to reduce the un…

cs.CV2019

Holistic++ Scene Understanding: Single-view 3D Holistic Scene Parsing and Human Pose Estimation with Human-Object Interaction and Physical Commonsense

Yixin Chen, Siyuan Huang, Tao Yuan +3

We propose a new 3D holistic++ scene understanding problem, which jointly tackles two tasks from a single-view image: (i) holistic scene parsing and reconstruction---3D estimations…

cs.CV201925 cited

Reasoning Visual Dialogs with Structural and Partial Observations

Zilong Zheng, Wenguan Wang, Siyuan Qi +1

We propose a novel model to address the task of Visual Dialog which exhibits complex dialog structures. To obtain a reasonable answer based on the current question and the dialog h…