Data hiding scheme for medical images using lossless code for mobile HIMS. - V. Naveen Kumar; Mrigank Rochan; Santosh Hariharan; Kumar Rajamani 001 (COMSNETS, 2011)

Segmenting Objects in Weakly Labeled Videos. - Mrigank Rochan; Shafin Rahman; Neil D. B. Bruce; Yang Wang 003 (CRV, 2014)

Examining visual saliency prediction in naturalistic scenes. - Shafin Rahman; Mrigank Rochan; Yang Wang 003; Neil D. B. Bruce (ICIP, 2014)

Efficient Object Localization and Segmentation in Weakly Labeled Videos. - Mrigank Rochan; Yang Wang 003 (ISVC (1), 2014)

Latent SVM for Object Localization in Weakly Labeled Videos. - Mrigank Rochan; Yang Wang 003 (CRV, 2015)

Weakly supervised localization of novel objects using appearance transfer. - Mrigank Rochan; Yang Wang 003 (CVPR, 2015)

Attention Networks for Weakly Supervised Object Localization. - Eu Wern Teh; Mrigank Rochan; Yang Wang 003 (BMVC, 2016)

Weakly supervised object localization and segmentation in videos. - Mrigank Rochan; Shafin Rahman; Neil D. B. Bruce; Yang Wang 003 (Image Vis. Comput., 2016)

Adapting Object Detectors from Images to Weakly Labeled Videos. - Omit Chanda; Eu Wern Teh; Mrigank Rochan; Zhenyu Guo; Yang Wang 003 (BMVC, 2017)

Salient Object Detection using a Context-Aware Refinement Network. - Md. Amirul Islam; Mahmoud Kalash; Mrigank Rochan; Neil D. B. Bruce; Yang Wang 003 (BMVC, 2017)

Person Re-Identification by Localizing Discriminative Regions. - Tanzila Rahman; Mrigank Rochan; Yang Wang 003 (BMVC, 2017)

Gated Feedback Refinement Network for Dense Image Labeling. - Md. Amirul Islam; Mrigank Rochan; Neil D. B. Bruce; Yang Wang 003 (CVPR, 2017)

Label Refinement Network for Coarse-to-Fine Semantic Segmentation. - Md. Amirul Islam; Shujon Naha; Mrigank Rochan; Neil D. B. Bruce; Yang Wang 003 (CoRR, 2017)

Future Semantic Segmentation with Convolutional LSTM. - Seyed Shahabeddin Nabavi; Mrigank Rochan; Yang Wang 003 (BMVC, 2018)

Video Summarization Using Fully Convolutional Sequence Networks. - Mrigank Rochan; Linwei Ye; Yang Wang 003 (ECCV (12), 2018)

Malware Classification with Deep Convolutional Neural Networks. - Mahmoud Kalash; Mrigank Rochan; Noman Mohammed; Neil D. B. Bruce; Yang Wang 003; Farkhund Iqbal (NTMS, 2018)

Learning Video Summarization Using Unpaired Data. - Mrigank Rochan; Yang Wang 003 (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 003 (CoRR, 2018)

Video-based Person Re-identification Using Spatial-Temporal Attention Networks. - Shivansh Rao; Tanzila Rahman; Mrigank Rochan; Yang Wang 003 (CoRR, 2018)

Video-Based Person Re-Identification using Refined Attention Networks. - Tanzila Rahman; Mrigank Rochan; Yang Wang 003 (AVSS, 2019)

Non-Local Attentive Temporal Network for Video-Based Person Re-Identification. - Shivansh Rao; Peng Cao; Tanzila Rahman; Mrigank Rochan; Yang Wang 003 (AVSS, 2019)

Video Summarization by Learning From Unpaired Data. - Mrigank Rochan; Yang Wang 003 (CVPR, 2019)

Cross-Modal Self-Attention Network for Referring Image Segmentation. - Linwei Ye; Mrigank Rochan; Zhi Liu 003; Yang Wang 003 (CVPR, 2019)

Convolutional Temporal Attention Model for Video-Based Person Re-Identification. - Tanzila Rahman; Mrigank Rochan; Yang Wang 003 (ICME, 2019)

Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation. - Mrigank Rochan; Mahesh Kumar Krishna Reddy; Yang Wang 003 (BMVC, 2020)

Adaptive Video Highlight Detection by Learning from User History. - Mrigank Rochan; Mahesh Kumar Krishna Reddy; Linwei Ye; Yang Wang 003 (ECCV (21), 2020)

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning. - Mahesh Kumar Krishna Reddy; Mohammad Asiful Hossain; Mrigank Rochan; Yang Wang 003 (WACV, 2020)

A Deep Learning Framework for Malware Classification. - Mahmoud Kalash; Mrigank Rochan; Noman Mohammed; Neil D. B. Bruce; Yang Wang 003; Farkhund Iqbal (Int. J. Digit. Crime Forensics, 2020)

Efficient deep learning models for video abstraction. - Mrigank Rochan (2020)

Joint Visual and Audio Learning for Video Highlight Detection. - Taivanbat Badamdorj; Mrigank Rochan; Yang Wang 003; Li Cheng (ICCV, 2021)

Contrastive Learning for Unsupervised Video Highlight Detection. - Taivanbat Badamdorj; Mrigank Rochan; Yang Wang 003; Li Cheng (CVPR, 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 (ICRA, 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)

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)

Referring Segmentation in Images and Videos With Cross-Modal Self-Attention Network. - Linwei Ye; Mrigank Rochan; Zhi Liu 003; Xiaoqin Zhang 002; Yang Wang 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting. - Mahesh Kumar Krishna Reddy; Mrigank Rochan; Yiwei Lu 001; Yang Wang 003 (IEEE Trans. Multim., 2022)

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 (IV, 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)

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 (IV, 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 (IV, 2024)

Comparing Robustness Against Adversarial Attacks in Code Generation: LLM-Generated vs. Human-Written. - 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 (WACV, 2025)

Model Compression vs. Adversarial Robustness: An Empirical Study on Language Models for Code. - Md. Abdul Awal; Mrigank Rochan; Chanchal K. Roy (CoRR, 2025)

Test-Time Adaptation for Video Highlight Detection Using Meta-Auxiliary Learning and Cross-Modality Hallucinations. - Zahidul Islam; Sujoy Paul; Mrigank Rochan (CoRR, 2025)

Investigating adversarial attacks in software analytics via machine learning explainability. - Md. Abdul Awal; Mrigank Rochan; Chanchal K. Roy (Softw. Qual. J., 2025)