120 citations · 163 across the 6 of their papers we have counts for
8 papers
Mixup-CAM: Weakly-supervised Semantic Segmentation via Uncertainty Regularization
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung +3
Obtaining object response maps is one important step to achieve weakly-supervised semantic segmentation using image-level labels. However, existing methods rely on the classificati…
Weakly-Supervised Semantic Segmentation via Sub-category Exploration
Yu-Ting Chang, Qiaosong Wang, Wei-Chih Hung +3
Existing weakly-supervised semantic segmentation methods using image-level annotations typically rely on initial responses to locate object regions. However, such response maps gen…
Towards Real-time 3D Reconstruction using Consumer UAVs
Qiaosong Wang
We present a near real-time solution for 3D reconstruction from aerial images captured by consumer UAVs. Our core idea is to simplify the multi-view stereo problem into a series of…
Mobile Head Tracking for eCommerce and Beyond
Muratcan Cicek, Jinrong Xie, Qiaosong Wang +1
Shopping is difficult for people with motor impairments. This includes online shopping. Proprietary software can emulate mouse and keyboard via head tracking. However, such a solut…
Adversarial Learning for Fine-grained Image Search
Kevin Lin, Fan Yang, Qiaosong Wang +1
Fine-grained image search is still a challenging problem due to the difficulty in capturing subtle differences regardless of pose variations of objects from fine-grained categories…
Towards the Success Rate of One: Real-time Unconstrained Salient Object Detection
Mahyar Najibi, Fan Yang, Qiaosong Wang +1
In this work, we propose an efficient and effective approach for unconstrained salient object detection in images using deep convolutional neural networks. Instead of generating th…