Dequan Wang
Dequan Wang
Verified email at eecs.berkeley.edu - Homepage
TitleCited byYear
Fcns in the wild: Pixel-level adversarial and constraint-based adaptation
J Hoffman, D Wang, F Yu, T Darrell
arXiv preprint arXiv:1612.02649, 2016
1652016
Deep layer aggregation
F Yu, D Wang, E Shelhamer, T Darrell
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1192018
Multiple granularity descriptors for fine-grained categorization
D Wang, Z Shen, J Shao, W Zhang, X Xue, Z Zhang
Proceedings of the IEEE International Conference on Computer Vision, 2399-2406, 2015
952015
Weakly supervised semantic segmentation for social images
W Zhang, S Zeng, D Wang, X Xue
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015
512015
Visda: The visual domain adaptation challenge
X Peng, B Usman, N Kaushik, J Hoffman, D Wang, K Saenko
arXiv preprint arXiv:1710.06924, 2017
47*2017
Objects as Points
X Zhou, D Wang, P Krähenbühl
arXiv preprint arXiv:1904.07850, 2019
272019
Deep Object-Centric Policies for Autonomous Driving
D Wang, C Devin, QZ Cai, F Yu, T Darrell
2019 International Conference on Robotics and Automation (ICRA), 8853-8859, 2019
122019
Blurring the Line Between Structure and Learning to Optimize and Adapt Receptive Fields
E Shelhamer, D Wang, T Darrell
arXiv preprint arXiv:1904.11487, 2019
52019
Joint Monocular 3D Vehicle Detection and Tracking
HN Hu, QZ Cai, D Wang, J Lin, M Sun, P Krähenbühl, T Darrell, F Yu
arXiv preprint arXiv:1811.10742, 2018
32018
Monocular Plan View Networks for Autonomous Driving
D Wang, C Devin, QZ Cai, P Krähenbühl, T Darrell
arXiv preprint arXiv:1905.06937, 2019
22019
Dynamic Scale Inference by Entropy Minimization
D Wang, E Shelhamer, B Olshausen, T Darrell
arXiv preprint arXiv:1908.03182, 2019
12019
Convolutional Neural Networks on non-uniform geometrical signals using Euclidean spectral transformation
C Jiang, D Wang, J Huang, P Marcus, M Nießner
International Conference on Learning Representations, 2019
2019
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Articles 1–12