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M. Goyal

4 papers hereh-index 461 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
same name
  • M. Goyal — 14 papers, h 22
  • M. Goyal — 13 papers, h 14
  • M. Goyal — 4 papers, h 20
  • M. Goyal — 1 paper, h 3
  • M. Goyal — 1 paper, h 1
  • M. Goyal — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20172019
most citedDataset Augmentation with Synthetic Images Improves Semantic Segmentation

10 citations · 20 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2019★ 1 cited

Accurate Trajectory Prediction for Autonomous Vehicles

Michael Diodato, Yu Li, Antonia Lovjer +7

Predicting vehicle trajectories, angle and speed is important for safe and comfortable driving. We demonstrate the best predicted angle, speed, and best performance overall winning…

cs.CV2019★ 2 cited

Winning the ICCV 2019 Learning to Drive Challenge

Michael Diodato, Yu Li, Manik Goyal +1

Autonomous driving has a significant impact on society. Predicting vehicle trajectories, specifically, angle and speed, is important for safe and comfortable driving. This work foc…

cs.CV2018★ 7 cited

Deep neural network ensemble by data augmentation and bagging for skin lesion classification

Manik Goyal, Jagath C. Rajapakse

This work summarizes our submission for the Task 3: Disease Classification of ISIC 2018 challenge in Skin Lesion Analysis Towards Melanoma Detection. We use a novel deep neural net…

cs.CV2017★ 10 cited

Dataset Augmentation with Synthetic Images Improves Semantic Segmentation

Manik Goyal, Param Rajpura, Hristo Bojinov +1

Although Deep Convolutional Neural Networks trained with strong pixel-level annotations have significantly pushed the performance in semantic segmentation, annotation efforts requi…

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