Mrigank Rochan

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 44

Top Topics

Semantic Segmentation

Top Venues

Publications

Zahidul Islam, Sujoy Paul, Mrigank Rochan
Unsupervised Video Highlight Detection by Learning from Audio and Visual Recurrence. CoRR (2024)
Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu
Effects of Range-based LiDAR Point Cloud Density Manipulation on 3D Object Detection. IV (2024)
Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu
Gradual Batch Alternation for Effective Domain Adaptation in LiDAR-Based 3D Object Detection. IV (2024)
Eduardo R. Corral-Soto, Alaap Grandhi, Yannis Y. He, Mrigank Rochan, Bingbing Liu
Improving LiDAR 3D Object Detection via Range-based Point Cloud Density Optimization. CoRR (2023)
Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Xingxin Chen, Shubhra Aich, Bingbing Liu
Domain Adaptation in LiDAR Semantic Segmentation via Hybrid Learning with Alternating Skip Connections. IV (2023)
Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, Li Cheng
Contrastive Learning for Unsupervised Video Highlight Detection. CVPR (2022)
Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters. ICRA (2022)
Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang
Referring Segmentation in Images and Videos With Cross-Modal Self-Attention Network. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu, Yang Wang
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting. IEEE Trans. Multim. 24 (2022)
Mrigank Rochan, Xingxin Chen, Alaap Grandhi, Eduardo R. Corral-Soto, Bingbing Liu
Domain Adaptation in 3D Object Detection with Gradual Batch Alternation Training. CoRR (2022)
Eduardo R. Corral-Soto, Mrigank Rochan, Yannis Y. He, Shubhra Aich, Yang Liu, Bingbing Liu
HYLDA: End-to-end Hybrid Learning Domain Adaptation for LiDAR Semantic Segmentation. CoRR (2022)
Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, Li Cheng
Joint Visual and Audio Learning for Video Highlight Detection. ICCV (2021)
Mrigank Rochan, Shubhra Aich, Eduardo R. Corral-Soto, Amir Nabatchian, Bingbing Liu
Unsupervised Domain Adaptation in LiDAR Semantic Segmentation with Self-Supervision and Gated Adapters. CoRR (2021)
Linwei Ye, Mrigank Rochan, Zhi Liu, Xiaoqin Zhang, Yang Wang
Referring Segmentation in Images and Videos with Cross-Modal Self-Attention Network. CoRR (2021)
Mrigank Rochan, Mahesh Kumar Krishna Reddy, Yang Wang
Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation. BMVC (2020)
Mrigank Rochan, Mahesh Kumar Krishna Reddy, Yang Wang
Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation. CoRR (2020)
Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang
Adaptive Video Highlight Detection by Learning from User History. ECCV (21) (2020)
Mahesh Kumar Krishna Reddy, Mohammad Asiful Hossain, Mrigank Rochan, Yang Wang
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning. WACV (2020)
Mahesh Kumar Krishna Reddy, Mohammad Asiful Hossain, Mrigank Rochan, Yang Wang
Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning. CoRR (2020)
Mahesh Kumar Krishna Reddy, Mrigank Rochan, Yiwei Lu, Yang Wang
AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting. CoRR (2020)
Mrigank Rochan, Mahesh Kumar Krishna Reddy, Linwei Ye, Yang Wang
Adaptive Video Highlight Detection by Learning from User History. CoRR (2020)
Mahmoud Kalash, Mrigank Rochan, Noman Mohammed, Neil D. B. Bruce, Yang Wang, Farkhund Iqbal
A Deep Learning Framework for Malware Classification. Int. J. Digit. Crime Forensics 12 (1) (2020)
Tanzila Rahman, Mrigank Rochan, Yang Wang
Video-Based Person Re-Identification using Refined Attention Networks. AVSS (2019)
Tanzila Rahman, Mrigank Rochan, Yang Wang
Convolutional Temporal Attention Model for Video-based Person Re-identification. CoRR (2019)
Shivansh Rao, Peng Cao, Tanzila Rahman, Mrigank Rochan, Yang Wang
Non-Local Attentive Temporal Network for Video-Based Person Re-Identification. AVSS (2019)
Mrigank Rochan, Yang Wang
Video Summarization by Learning From Unpaired Data. CVPR (2019)
Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang
Cross-Modal Self-Attention Network for Referring Image Segmentation. CoRR (2019)
Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang
Cross-Modal Self-Attention Network for Referring Image Segmentation. CVPR (2019)
Tanzila Rahman, Mrigank Rochan, Yang Wang
Convolutional Temporal Attention Model for Video-Based Person Re-Identification. ICME (2019)
Seyed Shahabeddin Nabavi, Mrigank Rochan, Yang Wang
Future Semantic Segmentation with Convolutional LSTM. BMVC (2018)
Mrigank Rochan, Linwei Ye, Yang Wang
Video Summarization Using Fully Convolutional Sequence Networks. CoRR (2018)
Mrigank Rochan, Linwei Ye, Yang Wang
Video Summarization Using Fully Convolutional Sequence Networks. ECCV (12) (2018)
Shivansh Rao, Tanzila Rahman, Mrigank Rochan, Yang Wang
Video-based Person Re-identification Using Spatial-Temporal Attention Networks. CoRR (2018)
Mahmoud Kalash, Mrigank Rochan, Noman Mohammed, Neil D. B. Bruce, Yang Wang, Farkhund Iqbal
Malware Classification with Deep Convolutional Neural Networks. NTMS (2018)
Mrigank Rochan, Yang Wang
Learning Video Summarization Using Unpaired Data. CoRR (2018)
Md. Amirul Islam, Mrigank Rochan, Shujon Naha, Neil D. B. Bruce, Yang Wang
Gated Feedback Refinement Network for Coarse-to-Fine Dense Semantic Image Labeling. CoRR (2018)
Seyed Shahabeddin Nabavi, Mrigank Rochan, Yang Wang
Future Semantic Segmentation with Convolutional LSTM. CoRR (2018)
Md. Amirul Islam, Shujon Naha, Mrigank Rochan, Neil D. B. Bruce, Yang Wang
Label Refinement Network for Coarse-to-Fine Semantic Segmentation. CoRR (2017)
Tanzila Rahman, Mrigank Rochan, Yang Wang
Person Re-Identification by Localizing Discriminative Regions. BMVC (2017)
Md. Amirul Islam, Mrigank Rochan, Neil D. B. Bruce, Yang Wang
Gated Feedback Refinement Network for Dense Image Labeling. CVPR (2017)
Omit Chanda, Eu Wern Teh, Mrigank Rochan, Zhenyu Guo, Yang Wang
Adapting Object Detectors from Images to Weakly Labeled Videos. BMVC (2017)
Md. Amirul Islam, Mahmoud Kalash, Mrigank Rochan, Neil D. B. Bruce, Yang Wang
Salient Object Detection using a Context-Aware Refinement Network. BMVC (2017)
Mrigank Rochan, Shafin Rahman, Neil D. B. Bruce, Yang Wang
Weakly supervised object localization and segmentation in videos. Image Vis. Comput. 56 (2016)
Eu Wern Teh, Mrigank Rochan, Yang Wang
Attention Networks for Weakly Supervised Object Localization. BMVC (2016)
Mrigank Rochan, Yang Wang
Weakly supervised localization of novel objects using appearance transfer. CVPR (2015)
Mrigank Rochan, Yang Wang
Latent SVM for Object Localization in Weakly Labeled Videos. CRV (2015)
Shafin Rahman, Mrigank Rochan, Yang Wang, Neil D. B. Bruce
Examining visual saliency prediction in naturalistic scenes. ICIP (2014)
Mrigank Rochan, Yang Wang
Efficient Object Localization and Segmentation in Weakly Labeled Videos. ISVC (1) (2014)
Mrigank Rochan, Shafin Rahman, Neil D. B. Bruce, Yang Wang
Segmenting Objects in Weakly Labeled Videos. CRV (2014)
V. Naveen Kumar, Mrigank Rochan, Santosh Hariharan, Kumar Rajamani
Data hiding scheme for medical images using lossless code for mobile HIMS. COMSNETS (2011)