Ardhendu Behera
Ardhendu Behera
Professor of Computer Vision & AI, Edge Hill University
Verified email at - Homepage
Cited by
Cited by
Temporal convolutional neural (TCN) network for an effective weather forecasting using time-series data from the local weather station
P Hewage, A Behera, M Trovati, E Pereira, M Ghahremani, F Palmieri, ...
Soft Computing, 1-30, 2020
Deep learning-based effective fine-grained weather forecasting model
P Hewage, M Trovati, E Pereira, A Behera
Pattern Analysis and Applications 24 (1), 343-366, 2021
Egocentric activity monitoring and recovery
A Behera, DC Hogg, AG Cohn
Computer Vision–ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon …, 2013
Robust abandoned object detection integrating wide area visual surveillance and social context
J Ferryman, D Hogg, J Sochman, A Behera, JA Rodriguez-Serrano, ...
Pattern Recognition Letters 34 (7), 789-798, 2013
Cognitive learning, monitoring and assistance of industrial workflows using egocentric sensor networks
G Bleser, D Damen, A Behera, G Hendeby, K Mura, M Miezal, A Gee, ...
PloS one 10 (6), e0127769, 2015
Remote sensing image fusion via compressive sensing
M Ghahremani, Y Liu, P Yuen, A Behera
ISPRS journal of photogrammetry and remote sensing 152, 34-48, 2019
Context-aware Attentional Pooling (CAP) for Fine-grained Visual Classification
A Behera, Z Wharton, P Hewage, A Bera
35th AAAI Conference on Artificial Intelligence 2021, 2021
Using static documents as structured and thematic interfaces to multimedia meeting archives
D Lalanne, R Ingold, D Von Rotz, A Behera, D Mekhaldi, A Popescu-Belis
Machine Learning for Multimodal Interaction: First International Workshop …, 2005
Context-driven multi-stream LSTM (M-LSTM) for recognizing fine-grained activity of drivers
A Behera, A Keidel, B Debnath
Pattern Recognition: 40th German Conference, GCPR 2018, Stuttgart, Germany …, 2019
Suspiciousness perception in dynamic scenes: a comparison of CCTV operators and novices
CJ Howard, T Troscianko, ID Gilchrist, A Behera, DC Hogg
Frontiers in human neuroscience 7, 441, 2013
Task relevance predicts gaze in videos of real moving scenes
CJ Howard, ID Gilchrist, T Troscianko, A Behera, DC Hogg
Experimental brain research 214, 131-137, 2011
Associating facial expressions and upper-body gestures with learning tasks for enhancing intelligent tutoring systems
A Behera, P Matthew, A Keidel, P Vangorp, H Fang, S Canning
International Journal of Artificial Intelligence in Education, 2020
Workflow activity monitoring using dynamics of pair-wise qualitative spatial relations
A Behera, AG Cohn, DC Hogg
Advances in Multimedia Modeling: 18th International Conference, MMM 2012 …, 2012
A research agenda for assessing the utility of document annotations in multimedia databases of meeting recordings
D Lalanne, S Sire, R Ingold, A Behera, D Mekhaldi, D Rotz
Proceedings of 3rd international workshop on multimedia data and document …, 2003
Deep cnn, body pose, and body-object interaction features for drivers’ activity monitoring
A Behera, Z Wharton, A Keidel, B Debnath
IEEE Transactions on Intelligent Transportation Systems 23 (3), 2874-2881, 2020
Attend and guide (ag-net): A keypoints-driven attention-based deep network for image recognition
A Bera, Z Wharton, Y Liu, N Bessis, A Behera
IEEE Transactions on Image Processing 30, 3691-3704, 2021
Looking at projected documents: Event detection & document identification
A Behera, D Lalanne, R Ingold
2004 IEEE International Conference on Multimedia and Expo (ICME)(IEEE Cat …, 2004
Robotic technology for palliative and supportive care: Strengths, weaknesses, opportunities and threats
AC Nwosu, B Sturgeon, T McGlinchey, CDG Goodwin, A Behera, ...
Palliative Medicine 33 (8), 1106-1113, 2019
Unsupervised Monocular Depth Estimation for Night-time Images using Adversarial Domain Feature Adaptation
MB Vankadari, S Garg, A Majumdar, S Kumar, A Behera
European Conference on Computer Vision (ECCV) 12373, 443-459, 2020
DocMIR: An automatic document-based indexing system for meeting retrieval
A Behera, D Lalanne, R Ingold
Multimedia Tools and Applications 37 (2), 135-167, 2008
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