120 citations · 167 across the 8 of their papers we have counts for
9 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…
Visual Search at eBay
Fan Yang, Ajinkya Kale, Yury Bubnov +4
In this paper, we propose a novel end-to-end approach for scalable visual search infrastructure. We discuss the challenges we faced for a massive volatile inventory like at eBay an…
Automatic Layer Separation using Light Field Imaging
Qiaosong Wang, Haiting Lin, Yi Ma +2
We propose a novel approach that jointly removes reflection or translucent layer from a scene and estimates scene depth. The input data are captured via light field imaging. The pr…
Im2Fit: Fast 3D Model Fitting and Anthropometrics using Single Consumer Depth Camera and Synthetic Data
Qiaosong Wang, Vignesh Jagadeesh, Bryan Ressler +1
Recent advances in consumer depth sensors have created many opportunities for human body measurement and modeling. Estimation of 3D body shape is particularly useful for fashion e-…