activity
20182024
most citedDeep Discriminative Clustering Analysis

43 citations · 84 across the 15 of their papers we have counts for

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Showing 2019Show all

7 papers · 1 filter

cs.CV2019★ 5 cited

FontGAN: A Unified Generative Framework for Chinese Character Stylization and De-stylization

Xiyan Liu, Gaofeng Meng, Shiming Xiang +1

Chinese character synthesis involves two related aspects, i.e., style maintenance and content consistency. Although some methods have achieved remarkable success in synthesizing a…

cs.CV2019

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing

Yongcheng Liu, Bin Fan, Gaofeng Meng +3

Point cloud processing is very challenging, as the diverse shapes formed by irregular points are often indistinguishable. A thorough grasp of the elusive shape requires sufficientl…

cs.CV2019★ 2 cited

Joint haze image synthesis and dehazing with mmd-vae losses

Zongliang Li, Chi Zhang, Gaofeng Meng +1

Fog and haze are weathers with low visibility which are adversarial to the driving safety of intelligent vehicles equipped with optical sensors like cameras and LiDARs. Therefore i…

cs.LG2019★ 11 cited

Differentiable Architecture Search with Ensemble Gumbel-Softmax

Jianlong Chang, Xinbang Zhang, Yiwen Guo +3

For network architecture search (NAS), it is crucial but challenging to simultaneously guarantee both effectiveness and efficiency. Towards achieving this goal, we develop a differ…

cs.LG2019★ 43 cited

Deep Discriminative Clustering Analysis

Jianlong Chang, Yiwen Guo, Lingfeng Wang +3

Traditional clustering methods often perform clustering with low-level indiscriminative representations and ignore relationships between patterns, resulting in slight achievements…

cs.CV2019

DetNAS: Backbone Search for Object Detection

Yukang Chen, Tong Yang, Xiangyu Zhang +3

Object detectors are usually equipped with backbone networks designed for image classification. It might be sub-optimal because of the gap between the tasks of image classification…