Search Results for author: Manu Mathew

Found 3 papers, 1 papers with code

YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss

2 code implementations14 Apr 2022 Debapriya Maji, Soyeb Nagori, Manu Mathew, Deepak Poddar

All experiments and results reported in this paper are without any test time augmentation, unlike traditional approaches that use flip-test and multi-scale testing to boost performance.

Ranked #30 on Pose Estimation on COCO test-dev (AP50 metric)

Multi-Person Pose Estimation object-detection +1

SS3D: Single Shot 3D Object Detector

no code implementations30 Apr 2020 Aniket Limaye, Manu Mathew, Soyeb Nagori, Pramod Kumar Swami, Debapriya Maji, Kumar Desappan

Achieving the accuracy of two stage detectors using a single stage approach is important as single stage approaches are simpler to implement in embedded, real-time applications.

3D Object Detection Object +2

Efficient Semantic Segmentation using Gradual Grouping

no code implementations22 Jun 2018 Nikitha Vallurupalli, Sriharsha Annamaneni, Girish Varma, C. V. Jawahar, Manu Mathew, Soyeb Nagori

We study the effectiveness of these techniques on a real-time semantic segmentation architecture like ERFNet for improving run time by over 5X.

Real-Time Semantic Segmentation Segmentation

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