activity
20152023
most citedTraining Neural Networks Without Gradients: A Scalable ADMM Approach

140 citations · 382 across the 16 of their papers we have counts for

collaborators
Showing 2017Show all

6 papers · 1 filter

cs.AI2017★ 8 cited

Deception Detection in Videos

Zhe Wu, Bharat Singh, Larry S. Davis +1

We present a system for covert automated deception detection in real-life courtroom trial videos. We study the importance of different modalities like vision, audio and text for th…

cs.CV2017

R-FCN-3000 at 30fps: Decoupling Detection and Classification

Bharat Singh, Hengduo Li, Abhishek Sharma +1

We present R-FCN-3000, a large-scale real-time object detector in which objectness detection and classification are decoupled. To obtain the detection score for an RoI, we multiply…

cs.CV2017★ 13 cited

An Analysis of Scale Invariance in Object Detection - SNIP

Bharat Singh, Larry S. Davis

An analysis of different techniques for recognizing and detecting objects under extreme scale variation is presented. Scale specific and scale invariant design of detectors are com…

cs.CV2017★ 66 cited

Temporal Context Network for Activity Localization in Videos

Xiyang Dai, Bharat Singh, Guyue Zhang +2

We present a Temporal Context Network (TCN) for precise temporal localization of human activities. Similar to the Faster-RCNN architecture, proposals are placed at equal intervals…

cs.CV2017

Soft-NMS -- Improving Object Detection With One Line of Code

Navaneeth Bodla, Bharat Singh, Rama Chellappa +1

Non-maximum suppression is an integral part of the object detection pipeline. First, it sorts all detection boxes on the basis of their scores. The detection box M with the maximum…

cs.CV2017

Son of Zorn's Lemma: Targeted Style Transfer Using Instance-aware Semantic Segmentation

Carlos Castillo, Soham De, Xintong Han +3

Style transfer is an important task in which the style of a source image is mapped onto that of a target image. The method is useful for synthesizing derivative works of a particul…