151 citations · 206 across the 21 of their papers we have counts for
24 papers
LocaliseBot: Multi-view 3D object localisation with differentiable rendering for robot grasping
Sujal Vijayaraghavan, Redwan Alqasemi, Rajiv Dubey +1
Robot grasp typically follows five stages: object detection, object localisation, object pose estimation, grasp pose estimation, and grasp planning. We focus on object pose estimat…
Reducing Training Demands for 3D Gait Recognition with Deep Koopman Operator Constraints
Cole Hill, Mauricio Pamplona Segundo, Sudeep Sarkar
Deep learning research has made many biometric recognition solution viable, but it requires vast training data to achieve real-world generalization. Unlike other biometric traits,…
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
Shenyuan Liang, Mauricio Pamplona Segundo, Sathyanarayanan N. Aakur +2
This paper focuses on the statistical analysis of shapes of data objects called shape graphs, a set of nodes connected by articulated curves with arbitrary shapes. A critical need…
A structure theorem for homology 4-manifolds with
Biplab Basak, Sourav Sarkar
Numerous structural findings of homology manifolds have been derived in various ways in relation to -values. The homology -manifolds with are characterized comb…
Mixing Properties of Stable Random Fields Indexed by Amenable and Hyperbolic Groups
Mahan Mj, Parthanil Roy, Sourav Sarkar
We show that any stationary symmteric -stable () random field indexed by a countable amenable group is weakly mixing if and only if it is generated by a null action, ex…
A compact setup for loading magneto-optical trap in ultrahigh vacuum environment
Kavish Bharadwaj, Sourabh Sarkar, S. P. Ram +2
We have developed a compact setup which enables loading a magneto-optical trap (MOT) in ultra-high vacuum (UHV) environment. Nearly atoms of are trapped…
On a construction of some homology -manifolds
Biplab Basak, Sourav Sarkar
The -vector of a simplicial complex contains a lot of information about the combinatorial and topological structure of that complex. Several classification results regarding the…
Measuring economic activity from space: a case study using flying airplanes and COVID-19
Mauricio Pamplona Segundo, Allan Pinto, Rodrigo Minetto +2
This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We hypothesized that disturbances in human behavior cau…
Different atom trapping geometries with time averaged adiabatic potentials
Sourabh Sarkar, S. P. Ram, V. B. Tiwari +1
In this article, we have theoretically studied the time averaged adiabatic potential (TAAP) scheme for realizing different atom trapping geometries. It is shown that by varying tim…
Actor-centered Representations for Action Localization in Streaming Videos
Sathyanarayanan N. Aakur, Sudeep Sarkar
Event perception tasks such as recognizing and localizing actions in streaming videos are essential for scaling to real-world application contexts. We tackle the problem of learnin…
A characterization of normal 3-pseudomanifolds with at most two singularities
Biplab Basak, Raju Kumar Gupta, Sourav Sarkar
Characterizing face-number-related invariants of a given class of simplicial complexes has been a central topic in combinatorial topology. In this regard, one of the well-known inv…
Spatio-Temporal Event Segmentation and Localization for Wildlife Extended Videos
Ramy Mounir, Roman Gula, Jörn Theuerkauf +1
Using offline training schemes, researchers have tackled the event segmentation problem by providing full or weak-supervision through manually annotated labels or self-supervised e…
Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemic
Rodrigo Minetto, Mauricio Pamplona Segundo, Gilbert Rotich +1
The COVID-19 outbreak forced governments worldwide to impose lockdowns and quarantines to prevent virus transmission. As a consequence, there are disruptions in human and economic…
Action Localization through Continual Predictive Learning
Sathyanarayanan N. Aakur, Sudeep Sarkar
The problem of action recognition involves locating the action in the video, both over time and spatially in the image. The dominant current approaches use supervised learning to s…
Abductive Reasoning as Self-Supervision for Common Sense Question Answering
Sathyanarayanan N. Aakur, Sudeep Sarkar
Question answering has seen significant advances in recent times, especially with the introduction of increasingly bigger transformer-based models pre-trained on massive amounts of…
A Quotient Space Formulation for Generative Statistical Analysis of Graphical Data
Xiaoyang Guo, Anuj Srivastava, Sudeep Sarkar
Complex analyses involving multiple, dependent random quantities often lead to graphical models - a set of nodes denoting variables of interest, and corresponding edges denoting st…
The Unconstrained Ear Recognition Challenge 2019 - ArXiv Version With Appendix
Žiga Emeršič, Aruna Kumar S. V., B. S. Harish +28
This paper presents a summary of the 2019 Unconstrained Ear Recognition Challenge (UERC), the second in a series of group benchmarking efforts centered around the problem of person…
A Perceptual Prediction Framework for Self Supervised Event Segmentation
Sathyanarayanan N. Aakur, Sudeep Sarkar
Temporal segmentation of long videos is an important problem, that has largely been tackled through supervised learning, often requiring large amounts of annotated training data. I…
Resource-Constrained Simultaneous Detection and Labeling of Objects in High-Resolution Satellite Images
Gilbert Rotich, Rodrigo Minetto, Sudeep Sarkar
We describe a strategy for detection and classification of man-made objects in large high-resolution satellite photos under computational resource constraints. We detect and classi…
A method to Suppress Facial Expression in Posed and Spontaneous Videos
Ghada Zamzmi, Gabriel Ruiz, Matthew Shreve +3
We address the problem of suppressing facial expressions in videos because expressions can hinder the retrieval of important information in applications such as face recognition. T…
Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classification
Rodrigo Minetto, Mauricio Pamplona Segundo, Sudeep Sarkar
We describe in this paper Hydra, an ensemble of convolutional neural networks (CNN) for geospatial land classification. The idea behind Hydra is to create an initial CNN that is co…
Employing Fusion of Learned and Handcrafted Features for Unconstrained Ear Recognition
Earnest E. Hansley, Mauricio Pamplona Segundo, Sudeep Sarkar
We present an unconstrained ear recognition framework that outperforms state-of-the-art systems in different publicly available image databases. To this end, we developed CNN-based…
Going Deeper with Semantics: Video Activity Interpretation using Semantic Contextualization
Sathyanarayanan N. Aakur, Fillipe DM de Souza, Sudeep Sarkar
A deeper understanding of video activities extends beyond recognition of underlying concepts such as actions and objects: constructing deep semantic representations requires reason…
Learning camera viewpoint using CNN to improve 3D body pose estimation
Mona Fathollahi Ghezelghieh, Rangachar Kasturi, Sudeep Sarkar
The objective of this work is to estimate 3D human pose from a single RGB image. Extracting image representations which incorporate both spatial relation of body parts and their re…