Mrigank Rochan

发表

Video-Based Person Re-Identification using Refined Attention Networks

Yang Wang, Mrigank Rochan, Tanzila Rahman, 2019, 2019 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS).

Examining Visual Saliency Prediction in Naturalistic Scenes Conference

Neil D. B. Bruce, Yang Wang, Mrigank Rochan, 2016 .

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

Yang Wang, Mrigank Rochan, Yang Wang, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence.

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

Eduardo R. Corral-Soto, Mrigank Rochan, Bingbing Liu, 2022, ArXiv.

Cross-Modal Self-Attention Network for Referring Image Segmentation

Yang Wang, Linwei Ye, Mrigank Rochan, 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Malware Classification with Deep Convolutional Neural Networks

Yang Wang, Farkhund Iqbal, Neil D. B. Bruce, 2018, 2018 9th IFIP International Conference on New Technologies, Mobility and Security (NTMS).

Video Summarization by Learning From Unpaired Data

Yang Wang, Mrigank Rochan, Yang Wang, 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Future Semantic Segmentation with Convolutional LSTM

Yang Wang, Mrigank Rochan, S. S. Nabavi, 2018, BMVC.

Sentence Guided Temporal Modulation for Dynamic Video Thumbnail Generation pdf

Yang Wang, Mrigank Rochan, Mahesh Kumar Krishna Reddy, 2020, BMVC.

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

Eduardo R. Corral-Soto, Mrigank Rochan, Bingbing Liu, 2021, 2022 International Conference on Robotics and Automation (ICRA).

Gated Feedback Refinement Network for Dense Image Labeling

Yang Wang, Neil D. B. Bruce, Mrigank Rochan, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

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

Shubhra Aich, Mrigank Rochan, Eduardo R. Corral-Soto, 2022, ArXiv.

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

Eduardo R. Corral-Soto, Mrigank Rochan, Yang Liu, 2022, 2201.05585.

Joint Visual and Audio Learning for Video Highlight Detection

Yang Wang, Mrigank Rochan, Yang Wang, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV).

Contrastive Learning for Unsupervised Video Highlight Detection

Yang Wang, Mrigank Rochan, Taivanbat Badamdorj, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Video Summarization Using Fully Convolutional Sequence Networks

Yang Wang, Linwei Ye, Mrigank Rochan, 2018, ECCV.

Adaptive Video Highlight Detection by Learning from User History pdf

Linwei Ye, Yang Wang, Mrigank Rochan, 2020, ECCV.

Salient Object Detection using a Context-Aware Refinement Network

Yang Wang, Neil D. B. Bruce, Mrigank Rochan, 2017, BMVC.

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

Yang Wang, Shujon Naha, Neil D. B. Bruce, 2017, ArXiv.

A fast farthest neighbor search algorithm for very high dimensional data

Mrigank Rochan, Shafin Rahman, Mrigank Rochan, 2016, 2016 19th International Conference on Computer and Information Technology (ICCIT).

Attention Networks for Weakly Supervised Object Localization

Yang Wang, Mrigank Rochan, Eu Wern Teh, 2016, BMVC.

Latent SVM for Object Localization in Weakly Labeled Videos

Yang Wang, Mrigank Rochan, Yang Wang, 2015, 2015 12th Conference on Computer and Robot Vision.

Segmenting Objects in Weakly Labeled Videos

Yang Wang, Neil D. B. Bruce, Mrigank Rochan, 2014, 2014 Canadian Conference on Computer and Robot Vision.

Weakly supervised localization of novel objects using appearance transfer

Yang Wang, Mrigank Rochan, Yang Wang, 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning

Mahesh Kumar Krishna Reddy, Yang Wang, Mrigank Rochan, 2020, 2020 IEEE Winter Conference on Applications of Computer Vision (WACV).

Adapting Object Detectors from Images to Weakly Labeled Videos

Yang Wang, Zhenyu Guo, Omit Chanda, 2017, BMVC.

Weakly supervised object localization and segmentation in videos

Yang Wang, Neil D. B. Bruce, Mrigank Rochan, 2016, Image Vis. Comput..

A Deep Learning Framework for Malware Classification

Yang Wang, Farkhund Iqbal, Neil D. B. Bruce, 2020, Int. J. Digit. Crime Forensics.

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

Yang Wang, Mrigank Rochan, Shivansh Rao, 2018, ArXiv.

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

Eduardo R. Corral-Soto, Mrigank Rochan, Bingbing Liu, 2023, ArXiv.

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

Eduardo R. Corral-Soto, Mrigank Rochan, Bingbing Liu, 2023, 2023 IEEE Intelligent Vehicles Symposium (IV).

AdaCrowd: Unlabeled Scene Adaptation for Crowd Counting

Mahesh Kumar Krishna Reddy, Yang Wang, Mrigank Rochan, 2020, IEEE Transactions on Multimedia.

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

Eduardo R. Corral-Soto, Mrigank Rochan, Bingbing Liu, 2022, ArXiv.