274 citations · 1.2k across the 31 of their papers we have counts for
9 papers · 1 filter
Knowledge Concentration: Learning 100K Object Classifiers in a Single CNN
Jiyang Gao, Zijian, Guo +2
Fine-grained image labels are desirable for many computer vision applications, such as visual search or mobile AI assistant. These applications rely on image classification models…
Unsupervised Learning of Geometry with Edge-aware Depth-Normal Consistency
Zhenheng Yang, Peng Wang, Wei Xu +2
Learning to reconstruct depths in a single image by watching unlabeled videos via deep convolutional network (DCN) is attracting significant attention in recent years. In this pape…
FacePoseNet: Making a Case for Landmark-Free Face Alignment
Fengju Chang, Anh Tuan Tran, Tal Hassner +3
We show how a simple convolutional neural network (CNN) can be trained to accurately and robustly regress 6 degrees of freedom (6DoF) 3D head pose, directly from image intensities.…
Query-guided Regression Network with Context Policy for Phrase Grounding
Kan Chen, Rama Kovvuri, Ram Nevatia
Given a textual description of an image, phrase grounding localizes objects in the image referred by query phrases in the description. State-of-the-art methods address the problem…
Spatio-Temporal Action Detection with Cascade Proposal and Location Anticipation
Zhenheng Yang, Jiyang Gao, Ram Nevatia
In this work, we address the problem of spatio-temporal action detection in temporally untrimmed videos. It is an important and challenging task as finding accurate human actions i…
RED: Reinforced Encoder-Decoder Networks for Action Anticipation
Jiyang Gao, Zhenheng Yang, Ram Nevatia
Action anticipation aims to detect an action before it happens. Many real world applications in robotics and surveillance are related to this predictive capability. Current methods…
Cascaded Boundary Regression for Temporal Action Detection
Jiyang Gao, Zhenheng Yang, Ram Nevatia
Temporal action detection in long videos is an important problem. State-of-the-art methods address this problem by applying action classifiers on sliding windows. Although sliding…
AMC: Attention guided Multi-modal Correlation Learning for Image Search
Kan Chen, Trung Bui, Fang Chen +2
Given a user's query, traditional image search systems rank images according to its relevance to a single modality (e.g., image content or surrounding text). Nowadays, an increasin…
TURN TAP: Temporal Unit Regression Network for Temporal Action Proposals
Jiyang Gao, Zhenheng Yang, Chen Sun +2
Temporal Action Proposal (TAP) generation is an important problem, as fast and accurate extraction of semantically important (e.g. human actions) segments from untrimmed videos is…