115 citations · 557 across the 15 of their papers we have counts for
16 papers
End-to-End Multi-View Fusion for 3D Object Detection in LiDAR Point Clouds
Yin Zhou, Pei Sun, Yu Zhang +6
Recent work on 3D object detection advocates point cloud voxelization in birds-eye view, where objects preserve their physical dimensions and are naturally separable. When represen…
Virtual Complete Intersections in
Jiyang Gao, Yutong Li, Michael C. Loper +1
The minimal free resolution of the coordinate ring of a complete intersection in projective space is a Koszul complex on a regular sequence. In the product of projective spaces $\m…
NOTE-RCNN: NOise Tolerant Ensemble RCNN for Semi-Supervised Object Detection
JIyang Gao, Jiang Wang, Shengyang Dai +2
The labeling cost of large number of bounding boxes is one of the main challenges for training modern object detectors. To reduce the dependence on expensive bounding box annotatio…
MAC: Mining Activity Concepts for Language-based Temporal Localization
Runzhou Ge, Jiyang Gao, Kan Chen +1
We address the problem of language-based temporal localization in untrimmed videos. Compared to temporal localization with fixed categories, this problem is more challenging as the…
CTAP: Complementary Temporal Action Proposal Generation
Jiyang Gao, Kan Chen, Ram Nevatia
Temporal action proposal generation is an important task, akin to object proposals, temporal action proposals are intended to capture "clips" or temporal intervals in videos that a…
Revisiting Temporal Modeling for Video-based Person ReID
Jiyang Gao, Ram Nevatia
Video-based person reID is an important task, which has received much attention in recent years due to the increasing demand in surveillance and camera networks. A typical video-ba…
Motion-Appearance Co-Memory Networks for Video Question Answering
Jiyang Gao, Runzhou Ge, Kan Chen +1
Video Question Answering (QA) is an important task in understanding video temporal structure. We observe that there are three unique attributes of video QA compared with image QA:…
Knowledge Aided Consistency for Weakly Supervised Phrase Grounding
Kan Chen, Jiyang Gao, Ram Nevatia
Given a natural language query, a phrase grounding system aims to localize mentioned objects in an image. In weakly supervised scenario, mapping between image regions (i.e., propos…
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…
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…
TALL: Temporal Activity Localization via Language Query
Jiyang Gao, Chen Sun, Zhenheng Yang +1
This paper focuses on temporal localization of actions in untrimmed videos. Existing methods typically train classifiers for a pre-defined list of actions and apply them in a slidi…
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…
Learning Action Concept Trees and Semantic Alignment Networks from Image-Description Data
Jiyang Gao, Ram Nevatia
Action classification in still images has been a popular research topic in computer vision. Labelling large scale datasets for action classification requires tremendous manual work…
ACD: Action Concept Discovery from Image-Sentence Corpora
Jiyang Gao, Chen Sun, Ram Nevatia
Action classification in still images is an important task in computer vision. It is challenging as the appearances of ac- tions may vary depending on their context (e.g. associate…