output
20082026
most citedTen Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

168 citations

researchers with a paper here

Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.

collaborating institutions
Showing cs.CVShow all

9 papers · 1 filter

cs.CV2025

Efficient Label Refinement for Face Parsing Under Extreme Poses Using 3D Gaussian Splatting

Ankit Gahlawat, Anirban Mukherjee, Dinesh Babu Jayagopi

Accurate face parsing under extreme viewing angles remains a significant challenge due to limited labeled data in such poses. Manual annotation is costly and often impractical at s…

cs.CV2021

Using Topological Framework for the Design of Activation Function and Model Pruning in Deep Neural Networks

Yogesh Kochar, Sunil Kumar Vengalil, Neelam Sinha

Success of deep neural networks in diverse tasks across domains of computer vision, speech recognition and natural language processing, has necessitated understanding the dynamics…

cs.CV2021

Towards Learning a Vocabulary of Visual Concepts and Operators using Deep Neural Networks

Sunil Kumar Vengalil, Neelam Sinha

Deep neural networks have become the default choice for many applications like image and video recognition, segmentation and other image and video related tasks.However, a critical…

cs.CV2021

One-shot domain adaptation for semantic face editing of real world images using StyleALAE

Ravi Kiran Reddy, Kumar Shubham, Gopalakrishnan Venkatesh +4

Semantic face editing of real world facial images is an important application of generative models. Recently, multiple works have explored possible techniques to generate such modi…

cs.CV2020

Augmented Semantic Signatures of Airborne LiDAR Point Clouds for Comparison

Jaya Sreevalsan-Nair, Pragyan Mohapatra

LiDAR point clouds provide rich geometric information, which is particularly useful for the analysis of complex scenes of urban regions. Finding structural and semantic differences…

cs.CV2016

Cognitive state classification using transformed fMRI data

Hariharan Ramasangu, Neelam Sinha

One approach, for understanding human brain functioning, is to analyze the changes in the brain while performing cognitive tasks. Towards this, Functional Magnetic Resonance (fMR)…

cs.CV2015★ 5 cited

A Robust Lane Detection and Departure Warning System

Mrinal Haloi, Dinesh Babu Jayagopi

In this work, we have developed a robust lane detection and departure warning technique. Our system is based on single camera sensor. For lane detection a modified Inverse Perspect…

cs.CV2015★ 8 cited

Characterizing driving behavior using automatic visual analysis

Mrinal Haloi, Dinesh Babu Jayagopi

In this work, we present the problem of rash driving detection algorithm using a single wide angle camera sensor, particularly useful in the Indian context. To our knowledge this r…

cs.CV2014★ 15 cited

Adaptive Wavelet Based Identification and Extraction of PQRST Combination in Randomly Stretching ECG Sequence

T. R. Gopalakrishnan Nair, A. P. Geetha, M. Asharani

Cardiovascular system study using ECG signals have evolved tremendously in the domain of electronics and signal processing. However, there are certain floating challenges unresolve…