Mrigank Rochan

According to our database, Mrigank Rochan authored at least 42 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Investigating Adversarial Attacks in Software Analytics via Machine Learning Explainability.

Md Abdul Awal, Mrigank Rochan, Chanchal K. Roy

CoRR, 2024

Unsupervised Video Highlight Detection by Learning from Audio and Visual Recurrence.

Zahidul Islam, Sujoy Paul, Mrigank Rochan

CoRR, 2024

Gradual Batch Alternation for Effective Domain Adaptation in LiDAR-Based 3D Object Detection.

Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

Effects of Range-based LiDAR Point Cloud Density Manipulation on 3D Object Detection.

Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023

Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization.

Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu

CoRR, 2023

Domain Adaptation in LiDAR Semantic Segmentation via Hybrid Learning with Alternating Skip Connections.

Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Xingxin Chen, Shubhra Aich, Bingbing Liu

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting.

Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu, Yang Wang

IEEE Trans. Multim., 2022

Referring Segmentation in Images and Videos With Cross-Modal Self-Attention Network.

Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training.

Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu

CoRR, 2022

HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation.

Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Shubhra Aich, Yang Liu, Bingbing Liu

CoRR, 2022

Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters.

Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Contrastive Learning for Unsupervised Video Highlight Detection.

Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, Li Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Joint Visual and Audio Learning for Video Highlight Detection.

Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, Li Cheng

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Efficient deep learning models for video abstraction.

Mrigank Rochan

PhD thesis, 2020

A Deep Learning Framework for Malware Classification.

Mahmoud Kalash, Mrigank Rochan, Noman Mohammed, Neil D. B. Bruce, Yang Wang, Farkhund Iqbal

Int. J. Digit. Crime Forensics, 2020

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning.

Mahesh Kumar Krishna Reddy, Mohammad Asiful Hossain, Mrigank Rochan, Yang Wang

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Adaptive Video Highlight Detection by Learning from User History.

Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang

Proceedings of the Computer Vision - ECCV 2020, 2020

Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation.

Mrigank Rochan, Mahesh Kumar Krishna Reddy, Yang Wang

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Convolutional Temporal Attention Model for Video-Based Person Re-Identification.

Tanzila Rahman, Mrigank Rochan, Yang Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Cross-Modal Self-Attention Network for Referring Image Segmentation.

Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Video Summarization by Learning From Unpaired Data.

Mrigank Rochan, Yang Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Non-Local Attentive Temporal Network for Video-Based Person Re-Identification.

Shivansh Rao, Peng Cao, Tanzila Rahman, Mrigank Rochan, Yang Wang

Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

Video-Based Person Re-Identification using Refined Attention Networks.

Tanzila Rahman, Mrigank Rochan, Yang Wang

Proceedings of the 16th IEEE International Conference on Advanced Video and Signal Based Surveillance, 2019

2018

Video-based Person Re-identification Using Spatial-Temporal Attention Networks.

Shivansh Rao, Tanzila Rahman, Mrigank Rochan, Yang Wang

CoRR, 2018

Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling.

Md. Amirul Islam, Mrigank Rochan, Shujon Naha, Neil D. B. Bruce, Yang Wang

CoRR, 2018

Learning Video Summarization Using Unpaired Data.

Mrigank Rochan, Yang Wang

CoRR, 2018

Malware Classification with Deep Convolutional Neural Networks.

Mahmoud Kalash, Mrigank Rochan, Noman Mohammed, Neil D. B. Bruce, Yang Wang, Farkhund Iqbal

Proceedings of the 9th IFIP International Conference on New Technologies, 2018

Video Summarization Using Fully Convolutional Sequence Networks.

Mrigank Rochan, Linwei Ye, Yang Wang

Proceedings of the Computer Vision - ECCV 2018, 2018

Future Semantic Segmentation with Convolutional LSTM.

Seyed Shahabeddin Nabavi, Mrigank Rochan, Yang Wang

Proceedings of the British Machine Vision Conference 2018, 2018

2017

Label Refinement Network for Coarse-to-Fine Semantic Segmentation.

Md. Amirul Islam, Shujon Naha, Mrigank Rochan, Neil D. B. Bruce, Yang Wang

CoRR, 2017

Gated Feedback Refinement Network for Dense Image Labeling.

Md. Amirul Islam, Mrigank Rochan, Neil D. B. Bruce, Yang Wang

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Person Re-Identification by Localizing Discriminative Regions.

Tanzila Rahman, Mrigank Rochan, Yang Wang

Proceedings of the British Machine Vision Conference 2017, 2017

Salient Object Detection using a Context-Aware Refinement Network.

Md. Amirul Islam, Mahmoud Kalash, Mrigank Rochan, Neil D. B. Bruce, Yang Wang

Proceedings of the British Machine Vision Conference 2017, 2017

Adapting Object Detectors from Images to Weakly Labeled Videos.

Omit Chanda, Eu Wern Teh, Mrigank Rochan, Zhenyu Guo, Yang Wang

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Weakly supervised object localization and segmentation in videos.

Mrigank Rochan, Shafin Rahman, Neil D. B. Bruce, Yang Wang

Image Vis. Comput., 2016

Attention Networks for Weakly Supervised Object Localization.

Eu Wern Teh, Mrigank Rochan, Yang Wang

Proceedings of the British Machine Vision Conference 2016, 2016

2015

Weakly supervised localization of novel objects using appearance transfer.

Mrigank Rochan, Yang Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Latent SVM for Object Localization in Weakly Labeled Videos.

Mrigank Rochan, Yang Wang

Proceedings of the 12th Conference on Computer and Robot Vision, 2015

2014

Efficient Object Localization and Segmentation in Weakly Labeled Videos.

Mrigank Rochan, Yang Wang

Proceedings of the Advances in Visual Computing - 10th International Symposium, 2014

Examining visual saliency prediction in naturalistic scenes.

Shafin Rahman, Mrigank Rochan, Yang Wang, Neil D. B. Bruce

Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Segmenting Objects in Weakly Labeled Videos.

Mrigank Rochan, Shafin Rahman, Neil D. B. Bruce, Yang Wang

Proceedings of the Canadian Conference on Computer and Robot Vision, 2014

2011

Data hiding scheme for medical images using lossless code for mobile HIMS.

V. Naveen Kumar, Mrigank Rochan, Santosh Hariharan, Kumar Rajamani

Proceedings of the Third International Conference on Communication Systems and Networks, 2011