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
1442016
Deep layer aggregation
F Yu, D Wang, E Shelhamer, T Darrell
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
942018
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
842015
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
482015
Visda: The visual domain adaptation challenge
X Peng, B Usman, N Kaushik, J Hoffman, D Wang, K Saenko
arXiv preprint arXiv:1710.06924, 2017
38*2017
Objects as Points
X Zhou, D Wang, P Krähenbühl
arXiv preprint arXiv:1904.07850, 2019
92019
Deep Object Centric Policies for Autonomous Driving
D Wang, C Devin, QZ Cai, F Yu, T Darrell
arXiv preprint arXiv:1811.05432, 2018
52018
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
32019
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
12019
Dynamic Scale Inference by Entropy Minimization
D Wang, E Shelhamer, B Olshausen, T Darrell
arXiv preprint arXiv:1908.03182, 2019
2019
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
The system can't perform the operation now. Try again later.
Articles 1–12