no code implementations • 11 Apr 2023 • Ayon Sen, Gang Pan, Anton Mitrokhin, Ashraful Islam
Accurate camera-to-lidar calibration is a requirement for sensor data fusion in many 3D perception tasks.
no code implementations • 10 Jul 2022 • Ashraful Islam, Ben Lundell, Harpreet Sawhney, Sudipta Sinha, Peter Morales, Richard J. Radke
We evaluate our SSL approach on two downstream tasks -- object detection and semantic segmentation, using COCO, PASCAL VOC, and CityScapes datasets.
1 code implementation • 10 May 2022 • Chirag Raman, Jose Vargas-Quiros, Stephanie Tan, Ashraful Islam, Ekin Gedik, Hayley Hung
Recording the dynamics of unscripted human interactions in the wild is challenging due to the delicate trade-offs between several factors: participant privacy, ecological validity, data fidelity, and logistical overheads.
no code implementations • 16 Aug 2021 • Md Imran Hossen, Ashraful Islam, Farzana Anowar, Eshtiak Ahmed, Mohammad Masudur Rahman, Xiali, Hei
In this paper, we identify and explore relevant CTI from hacker forums utilizing different supervised (classification) and unsupervised learning (topic modeling) techniques.
1 code implementation • NeurIPS 2021 • Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Rogerio Feris, Richard J. Radke
As the base dataset and unlabeled dataset are from different domains, projecting the target images in the class-domain of the base dataset with a fixed pretrained model might be sub-optimal.
2 code implementations • ICCV 2021 • Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard Radke, Rogerio Feris
Tremendous progress has been made in visual representation learning, notably with the recent success of self-supervised contrastive learning methods.
1 code implementation • 3 Jan 2021 • Ashraful Islam, Chengjiang Long, Richard Radke
Moreover, our temporal semi-soft and hard attention modules, calculating two attention scores for each video snippet, help to focus on the less discriminative frames of an action to capture the full action boundary.
no code implementations • CVPR 2020 • Ashraful Islam, Chengjiang Long, Arslan Basharat, Anthony Hoogs
To the best of our knowledge, we are the first to propose such a network architecture with the 1st-order attention mechanism from the affinity matrix.
1 code implementation • 21 Jan 2020 • Ashraful Islam, Richard J. Radke
We propose a classification module to generate action labels for each segment in the video, and a deep metric learning module to learn the similarity between different action instances.
Ranked #1 on Temporal Action Localization on ActivityNet-1.2