Text-to-Image (T2I) ReID has attracted a lot of attention in the recent ...
In Natural Language Processing (NLP), Transformers have already
revoluti...
The millimeter-wave (mm-wave) bands enable very large antenna arrays tha...
Despite the tremendous progress made by deep learning models in image
se...
Predicting attributes in the landmark free facial images is itself a
cha...
We introduce Softmax Gradient Tampering, a technique for modifying the
g...
Self-supervised learning of depth has been a highly studied topic of res...
We consider the challenging problem of audio to animated video generatio...
Speech-driven facial video generation has been a complex problem due to ...
The style of the speech varies from person to person and every person
ex...
Background and Objective: Tuberculosis (TB) is a significant public heal...
A chest radiograph, commonly called chest x-ray (CxR), plays a vital rol...
In telecommunications, network sustainability as a requirement is closel...
Monument classification can be performed on the basis of their appearanc...
Generating an image from a provided descriptive text is quite a challeng...
Recent advances in end-to-end unsupervised learning has significantly
im...
It is a challenging task to extract the best of both worlds by combining...
In many places all over the world rural and remote areas lack proper
con...
Fall detection holds immense importance in the field of healthcare, wher...
A lot a research is focused on object detection and it has achieved
sign...
There has been limited research in the domain of activation functions, m...
The recent advances in deep learning are mostly driven by availability o...
Air pollution is the leading environmental health hazard globally due to...
Synthesizing high quality saliency maps from noisy images is a challengi...
Learning local descriptors is an important problem in computer vision. W...
Disparity by Block Matching stereo is usually used in applications with
...
In this paper, we attempt to advance the research work done in human act...
Object cosegmentation addresses the problem of discovering similar objec...
Text spotting is an interesting research problem as text may appear at a...
In this paper we propose an ensemble of local and deep features for obje...
We introduce a large-scale 3D shape understanding benchmark using data a...
Quantification of physiological changes in plants can capture different
...
In this paper, we propose a novel binary descriptor for 3D point clouds....
In this paper, we propose a novel object proposal generation scheme by
f...
We present a method for discovering objects in 3D point clouds from sens...
The crux of the problem in KDD Cup 2016 involves developing data mining
...