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12/30/2022
A Fine-Grained Vehicle Detection (FGVD) Dataset for Unconstrained Roads
The previous fine-grained datasets mainly focus on classification and ar...
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11/28/2022
Action-GPT: Leveraging Large-scale Language Models for Improved and Generalized Action Generation
We introduce Action-GPT, a plug-and-play framework for incorporating Lar...
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11/10/2022
DrawMon: A Distributed System for Detection of Atypical Sketch Content in Concurrent Pictionary Games
Pictionary, the popular sketch-based guessing game, provides an opportun...
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09/27/2022
UAV-based Visual Remote Sensing for Automated Building Inspection
Unmanned Aerial Vehicle (UAV) based remote sensing system incorporated w...
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08/11/2022
PSUMNet: Unified Modality Part Streams are All You Need for Efficient Pose-based Action Recognition
Pose-based action recognition is predominantly tackled by approaches whi...
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04/18/2022
Detecting, Tracking and Counting Motorcycle Rider Traffic Violations on Unconstrained Roads
In many Asian countries with unconstrained road traffic conditions, driv...
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01/17/2022
Automatic Quantification and Visualization of Street Trees
Assessing the number of street trees is essential for evaluating urban g...
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10/21/2021
MUGL: Large Scale Multi Person Conditional Action Generation with Locomotion
We introduce MUGL, a novel deep neural model for large-scale, diverse ge...
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10/17/2021
MeronymNet: A Hierarchical Approach for Unified and Controllable Multi-Category Object Generation
We introduce MeronymNet, a novel hierarchical approach for controllable,...
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08/21/2021
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts
Handwritten documents are often characterized by dense and uneven layout...
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08/21/2021
BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation
Precise boundary annotations of image regions can be crucial for downstr...
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08/19/2021
Wisdom of (Binned) Crowds: A Bayesian Stratification Paradigm for Crowd Counting
Datasets for training crowd counting deep networks are typically heavy-t...
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06/27/2021
Hear Me Out: Fusional Approaches for Audio Augmented Temporal Action Localization
State of the art architectures for untrimmed video Temporal Action Local...
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03/16/2021
RackLay: Multi-Layer Layout Estimation for Warehouse Racks
Given a monocular colour image of a warehouse rack, we aim to predict th...
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01/27/2021
Syntactically Guided Generative Embeddings for Zero-Shot Skeleton Action Recognition
We introduce SynSE, a novel syntactically guided generative approach for...
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01/27/2021
NTU60-X: Towards Skeleton-based Recognition of Subtle Human Actions
The lack of fine-grained joints such as hand fingers is a fundamental pe...
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10/03/2020
Early Bird: Loop Closures from Opposing Viewpoints for Perceptually-Aliased Indoor Environments
Significant advances have been made recently in Visual Place Recognition...
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07/04/2020
Quo Vadis, Skeleton Action Recognition ?
In this paper, we study current and upcoming frontiers across the landsc...
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05/30/2020
OPAL-Net: A Generative Model for Part-based Object Layout Generation
We propose OPAL-Net, a novel hierarchical architecture for part-based la...
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02/16/2020
Topological Mapping for Manhattan-like Repetitive Environments
We showcase a topological mapping framework for a challenging indoor war...
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12/15/2019
Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts
Historical palm-leaf manuscript and early paper documents from Indian su...
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07/19/2018
Deep Sequential Multi-camera Feature Fusion for Person Re-identification
Given a target image as query, person re-identification systems retrieve...
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01/29/2018
Game of Sketches: Deep Recurrent Models of Pictionary-style Word Guessing
The ability of intelligent agents to play games in human-like fashion is...
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09/05/2017
SketchParse : Towards Rich Descriptions for Poorly Drawn Sketches using Multi-Task Hierarchical Deep Networks
The ability to semantically interpret hand-drawn line sketches, although...
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06/07/2017
DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data
A class of recent approaches for generating images, called Generative Ad...
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03/20/2017
Object category understanding via eye fixations on freehand sketches
The study of eye gaze fixations on photographic images is an active rese...
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11/23/2016
'Part'ly first among equals: Semantic part-based benchmarking for state-of-the-art object recognition systems
An examination of object recognition challenge leaderboards (ILSVRC, PAS...
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08/11/2016
Enabling My Robot To Play Pictionary : Recurrent Neural Networks For Sketch Recognition
Freehand sketching is an inherently sequential process. Yet, most approa...
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07/29/2016
SwiDeN : Convolutional Neural Networks For Depiction Invariant Object Recognition
Current state of the art object recognition architectures achieve impres...
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01/25/2016
A Taxonomy of Deep Convolutional Neural Nets for Computer Vision
Traditional architectures for solving computer vision problems and the d...
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09/15/2015
Analyzing structural characteristics of object category representations from their semantic-part distributions
Studies from neuroscience show that part-mapping computations are employ...
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05/25/2015
Expresso : A user-friendly GUI for Designing, Training and Exploring Convolutional Neural Networks
With a view to provide a user-friendly interface for designing, training...
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02/01/2015
Freehand Sketch Recognition Using Deep Features
Freehand sketches often contain sparse visual detail. In spite of the sp...
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01/31/2015