We tackle the problem of class incremental learning (CIL) in the realm o...
Holistic 3D human-scene reconstruction is a crucial and emerging researc...
Efficient road and building footprint extraction from satellite images a...
Many modern computer vision algorithms suffer from two major bottlenecks...
We tackle the novel problem of incremental unsupervised domain adaptatio...
We present a physics-based framework to simulate porous, deformable mate...
Predicting novel views of a scene from real-world images has always been...
This paper presents a remeshing-free, graph-based finite element method ...
Active metric learning is the problem of incrementally selecting high-ut...
We present a classification based approach for the next best view select...
In this paper, we propose a novel framework for multi-image co-segmentat...
We deal with the problem of semantic classification of challenging and
h...
In this paper, we present a novel proxy-based method of the adaptive hap...
In this work, we address the issue of a virtual representation of object...
In this work, we develop a multi-modal rendering framework comprising of...
Learning discriminative features is crucial for various robotic applicat...
We deal with the problem of generating textual captions from optical rem...
In the real world, we often come across soft objects having spatially va...
We present an active learning strategy for training parametric models of...
Zero-shot Learning (ZSL) is a transfer learning technique which aims at
...
In recent years, fingerprint recognition systems have made remarkable
ad...
Person re-identification addresses the problem of matching pedestrian im...
In video surveillance, person re-identification is the task of searching...
Person re-identification is the task of matching pedestrian images acros...
In this paper, we focus on the separability of classes with the cross-en...
We deal with the problem of information fusion driven satellite image/sc...
A classical approach to abnormal activity detection is to learn a
repres...
In order to design haptic icons or build a haptic vocabulary, we require...
In this paper we propose a novel metric learning framework called Nullsp...
The development of communication protocols for teleoperation with force
...
We present an unsupervised approach to analyze crowd at various levels o...
We present an integrated framework for simultaneous tracking, group dete...