477 citations · 972 across the 72 of their papers we have counts for
12 papers · 1 filter
Exploiting Context for Robustness to Label Noise in Active Learning
Sudipta Paul, Shivkumar Chandrasekaran, B. S. Manjunath +1
Several works in computer vision have demonstrated the effectiveness of active learning for adapting the recognition model when new unlabeled data becomes available. Most of these…
ALANET: Adaptive Latent Attention Network forJoint Video Deblurring and Interpolation
Akash Gupta, Abhishek Aich, Amit K. Roy-Chowdhury
Existing works address the problem of generating high frame-rate sharp videos by separately learning the frame deblurring and frame interpolation modules. Most of these approaches…
Measurement-driven Security Analysis of Imperceptible Impersonation Attacks
Shasha Li, Karim Khalil, Rameswar Panda +4
The emergence of Internet of Things (IoT) brings about new security challenges at the intersection of cyber and physical spaces. One prime example is the vulnerability of Face Reco…
Adversarial Knowledge Transfer from Unlabeled Data
Akash Gupta, Rameswar Panda, Sujoy Paul +2
While machine learning approaches to visual recognition offer great promise, most of the existing methods rely heavily on the availability of large quantities of labeled training d…
Domain Adaptive Semantic Segmentation Using Weak Labels
Sujoy Paul, Yi-Hsuan Tsai, Samuel Schulter +2
Learning semantic segmentation models requires a huge amount of pixel-wise labeling. However, labeled data may only be available abundantly in a domain different from the desired t…
Distributed Multi-agent Video Fast-forwarding
Shuyue Lan, Zhilu Wang, Amit K. Roy-Chowdhury +2
In many intelligent systems, a network of agents collaboratively perceives the environment for better and more efficient situation awareness. As these agents often have limited res…
Camera On-boarding for Person Re-identification using Hypothesis Transfer Learning
Sk Miraj Ahmed, Aske R Lejbølle, Rameswar Panda +1
Most of the existing approaches for person re-identification consider a static setting where the number of cameras in the network is fixed. An interesting direction, which has rece…
Text-based Localization of Moments in a Video Corpus
Sudipta Paul, Niluthpol Chowdhury Mithun, Amit K. Roy-Chowdhury
Prior works on text-based video moment localization focus on temporally grounding the textual query in an untrimmed video. These works assume that the relevant video is already kno…
Connecting the Dots: Detecting Adversarial Perturbations Using Context Inconsistency
Shasha Li, Shitong Zhu, Sudipta Paul +5
There has been a recent surge in research on adversarial perturbations that defeat Deep Neural Networks (DNNs) in machine vision; most of these perturbation-based attacks target ob…
Exploiting Temporal Coherence for Self-Supervised One-shot Video Re-identification
Dripta S. Raychaudhuri, Amit K. Roy-Chowdhury
While supervised techniques in re-identification are extremely effective, the need for large amounts of annotations makes them impractical for large camera networks. One-shot re-id…
Learning Person Re-identification Models from Videos with Weak Supervision
Xueping Wang, Sujoy Paul, Dripta S. Raychaudhuri +3
Most person re-identification methods, being supervised techniques, suffer from the burden of massive annotation requirement. Unsupervised methods overcome this need for labeled da…
Non-Adversarial Video Synthesis with Learned Priors
Abhishek Aich, Akash Gupta, Rameswar Panda +3
Most of the existing works in video synthesis focus on generating videos using adversarial learning. Despite their success, these methods often require input reference frame or fai…