325 citations · 2k across the 89 of their papers we have counts for
6 papers · 1 filter
Recent Advances in Convolutional Neural Networks
Jiuxiang Gu, Zhenhua Wang, Jason Kuen +9
In the last few years, deep learning has led to very good performance on a variety of problems, such as visual recognition, speech recognition and natural language processing. Amon…
Diagnosing State-Of-The-Art Object Proposal Methods
Hongyuan Zhu, Shijian Lu, Jianfei Cai +1
Object proposal has become a popular paradigm to replace exhaustive sliding window search in current top-performing methods in PASCAL VOC and ImageNet. Recently, Hosang et al. cond…
Robust Performance-driven 3D Face Tracking in Long Range Depth Scenes
Hai X. Pham, Chongyu Chen, Luc N. Dao +3
We introduce a novel robust hybrid 3D face tracking framework from RGBD video streams, which is capable of tracking head pose and facial actions without pre-calibration or interven…
Weakly Supervised Fine-Grained Image Categorization
Yu Zhang, Xiu-shen Wei, Jianxin Wu +4
In this paper, we categorize fine-grained images without using any object / part annotation neither in the training nor in the testing stage, a step towards making it suitable for…
Exploit Bounding Box Annotations for Multi-label Object Recognition
Hao Yang, Joey Tianyi Zhou, Yu Zhang +3
Convolutional neural networks (CNNs) have shown great performance as general feature representations for object recognition applications. However, for multi-label images that conta…
Beyond Pixels: A Comprehensive Survey from Bottom-up to Semantic Image Segmentation and Cosegmentation
Hongyuan Zhu, Fanman Meng, Jianfei Cai +1
Image segmentation refers to the process to divide an image into nonoverlapping meaningful regions according to human perception, which has become a classic topic since the early a…