research
∙
02/10/2021
Scale Normalized Image Pyramids with AutoFocus for Object Detection
We present an efficient foveal framework to perform object detection. A ...
share
research
∙
07/19/2020
ASAP-NMS: Accelerating Non-Maximum Suppression Using Spatially Aware Priors
The widely adopted sequential variant of Non Maximum Suppression (or Gre...
research
∙
05/12/2020
RSO: A Gradient Free Sampling Based Approach For Training Deep Neural Networks
We propose RSO (random search optimization), a gradient free Markov Chai...
research
∙
12/30/2019
Recognizing Instagram Filtered Images with Feature De-stylization
Deep neural networks have been shown to suffer from poor generalization ...
research
∙
05/15/2019
Automatic Long-Term Deception Detection in Group Interaction Videos
Most work on automated deception detection (ADD) in video has two restri...
research
∙
04/11/2019
An Analysis of Pre-Training on Object Detection
We provide a detailed analysis of convolutional neural networks which ar...
research
∙
12/14/2018
TAN: Temporal Aggregation Network for Dense Multi-label Action Recognition
We present Temporal Aggregation Network (TAN) which decomposes 3D convol...
research
∙
12/13/2018
FA-RPN: Floating Region Proposals for Face Detection
We propose a novel approach for generating region proposals for performi...
research
∙
12/04/2018
AutoFocus: Efficient Multi-Scale Inference
This paper describes AutoFocus, an efficient multi-scale inference algor...
research
∙
06/18/2018
Soft Sampling for Robust Object Detection
We study the robustness of object detection under the presence of missin...
research
∙
05/23/2018
SNIPER: Efficient Multi-Scale Training
We present SNIPER, an algorithm for performing efficient multi-scale tra...
research
∙
12/12/2017
Deception Detection in Videos
We present a system for covert automated deception detection in real-lif...
research
∙
12/05/2017
R-FCN-3000 at 30fps: Decoupling Detection and Classification
We present R-FCN-3000, a large-scale real-time object detector in which ...
research
∙
11/22/2017
An Analysis of Scale Invariance in Object Detection - SNIP
An analysis of different techniques for recognizing and detecting object...
research
∙
08/08/2017
Temporal Context Network for Activity Localization in Videos
We present a Temporal Context Network (TCN) for precise temporal localiz...
research
∙
01/09/2017
Son of Zorn's Lemma: Targeted Style Transfer Using Instance-aware Semantic Segmentation
Style transfer is an important task in which the style of a source image...
research
∙
12/14/2016
Fast-AT: Fast Automatic Thumbnail Generation using Deep Neural Networks
Fast-AT is an automatic thumbnail generation system based on deep neural...
research
∙
12/10/2015
VRFP: On-the-fly Video Retrieval using Web Images and Fast Fisher Vector Products
VRFP is a real-time video retrieval framework based on short text input ...
research
∙
10/15/2015
Layer-Specific Adaptive Learning Rates for Deep Networks
The increasing complexity of deep learning architectures is resulting in...
research
∙
09/25/2015
