2023

Q. Tian, T. Arbel, and J.J. Clark, 鈥淕row-push-prune: Aligning deep discriminants for effective structural network compression鈥�. Computer Vision and Image Understanding, 231, p.103682, 2023.

H.-Y. Chang, S. Hasan Mozafari, C. Chen, J.J. Clark, B. Meyer, and W. Gross, "PipeBERT: High-throughput BERT inference for ARM big.LITTLE Multi-Core Processors鈥�, Journal of Signal Processing Systems, 95 (7), 877-894.

A. Edalati, M. Tahaei, I. Kobyzev, V. Partovi Nia, J.J. Clark, and M. Rezagholizadeh, "KronA: Parameter Efficient Tuning with Kronecker Adapter", 3rd Neurips Workshop on Efficient Natural Language and Speech Processing. December 2023.

R. Sherkati, and J.J. Clark, "Clustered Saliency Prediction", in 2023 British Machine Vision Conference, November 2023.

S.-H. Mozafari, J.J. Clark, W. Gross and B. Meyer, "Training Acceleration of Frequency Domain CNNs Using Activation Compression", 2023 IEEE International Symposium on Circuits and Systems, May 2023.

S.-H. Mozafari, J.J. Clark, W. Gross and B. Meyer, "Efficient 1D Grouped Convolution for PyTorch A Case Study: Fast On-Device Fine-Tuning For SqueezeBERT", 34th IEEE International Conference on Application-specific Systems, Architectures and Processors, 2023.

L. Shen, I. Amara, R. Li, B. Meyer, W. Gross, and J.J. Clark, "Fast Fine-Tuning using Curriculum Domain Adaptation", CRV 2023, Montreal.

A. Mosleh, M.S. Tahaei, J.J. Clark, and V. Partovi-Nia, "Towards Low-cost Learning-based Camera ISP via Unrolled Optimization", CRV 2023, Montreal.

F. Askari, R. Jiang, Z. Li, J. Niu, Y. Shi, and J.J. Clark, "Self-Supervised Video Interaction Classification using Image Representation of Skeleton Data", CVSports Workshop at CVPR 2023.

H.Y. Chang, S.-H. Mozafari, J.J. Clark, B. Meyer and W. Gross, "High-Throughput Edge Inference for BERT models via Neural Architecture Search and Pipeline', GLSVLSI 2023.

Y. Wang, A. Chubarau, H.J. Yoo, T. Akhavan, and J.J. Clark, "Age-specific perceptual image quality assessment," Image Quality and System Performance Conference, at IS&T Electronic Imaging 2023.

S.B. Rangrej, K. Liang, T. Hassner, and J.J. Clark, "GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction", Winter Conference on Applications of Computer Vision (WACV), Waikaloa Hawaii, January 2023.

2022

Charles Le et al. 鈥淓fficient Two-Stage Progressive Quantization of BERT鈥�. In: Proceedings of The Third Workshop on Simple and Efficient Natural Language Processing (SustaiNLP). 2022, pp. 1鈥�9.

Zahra Vaseqi et al. 鈥淎 Framework for Video- Text Retrieval with Noisy Supervision鈥�. In: Proceedings of the 2022 International Conference on Multimodal Interaction. 2022, pp. 373鈥�383.

M Abdelgawad et al. 鈥淏ERTPerf: Inference Latency Predictor for BERT on ARM big. LITTLE Multi-Core Processors鈥�. In: 2022 IEEE Workshop on Signal Processing Systems (SiPS). IEEE. 2022, pp. 1鈥�6.

Samrudhdhi B Rangrej, Chetan L Srinidhi, and James J Clark. 鈥淐onsistency driven sequential transformers attention model for partially observable scenes鈥�. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, pp. 2518鈥� 2527.

Danilo Vucetic et al. 鈥淓fficient Fine-Tuning of Compressed Language Models with Learners鈥�. In: 2022.

ML Kornelsen et al. 鈥淔ast Heterogeneous Task Mapping for Reducing Edge DNN Latency鈥�. In: 2022 IEEE 33rd International Conference on Application-specific Systems, Architectures and Processors (ASAP). IEEE. 2022, pp. 64鈥� 71.

Farzaneh Askari et al. 鈥淚nteraction Classification with Key Actor Detection in Multi- Person Sports Videos鈥�. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, pp. 3580鈥�3588.

Lulan Shen et al. 鈥淐onjugate Adder Net (CAddNet)-a Space-Efficient Approximate CNN鈥�. In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2022, pp. 2793鈥�2797.

Ibtihel Amara et al. 鈥淐ES-KD: Curriculumbased Expert Selection for Guided Knowledge Distillation鈥�. In: 2022 26th International Conference on Pattern Recognition (ICPR). IEEE. 2022, pp. 1901鈥�1907.

Negin Firouzian et al. 鈥淲ork-in-Progress: Utilizing latency and accuracy predictors for efficient hardware-aware NAS鈥�. In: 2022 International Conference on Hardware/Software Codesign and System Synthesis (CODES+ ISSS). IEEE. 2022, pp. 15鈥�16.

Ali Edalati et al. 鈥淜ronecker decomposition for gpt compression鈥�. In: (2022).

Hang Zhang et al. 鈥淭owards Finding Efficient Students Via Blockwise Neural Architecture Search and Knowledge Distillation鈥�. In: Edge Intelligence Workshop, Montreal. 缅北强奸 (Canada), 2022.

Amir Ardakani et al. 鈥淪tandard Deviation- Based Quantization for Deep Neural Networks鈥�. In: 2022.

Ali Edalati et al. 鈥淜ronecker decomposition for gpt compression鈥�. In: Edge Intelligence Workshop, Montreal. 2022.

Ziaeefard M. Meyer B. Gross W. Amara I. and J.J. Clark. 鈥淥n the Importance of Integrating Curriculum Design for Teacher Assistant-based Knowledge Distillation鈥�. In: Edge Intelligence Workshop, Montreal. 2022.

Mozafari S. Clark J.J. Gross W. Chang H-Y. and B. Meyer. 鈥淣AS plus Pipeline for High Throughput Edge Inference BERT鈥�. In: Edge Intelligence Workshop, Montreal. 2022.

Mozafari S. Clark J.J. Meyer B. Kornelson M. and W. Gross. 鈥淎RMCL BERT: Novel Quantizable BERT Implementation for ARM SoCs鈥�. In: Edge Intelligence Workshop, Montreal. 2022.

Mozafari S. Clark J.J. Gross W. Li C. and B. Meyer. 鈥淏ERT Inference Energy Predictor for Efficient Hardware-aware NAS鈥�. In: Edge Intelligence Workshop, Montreal. 2022.

Meyer B. Gross W. Shen L. and J.J. Clark. 鈥淩etention of Domain Adaptability in Compressed Neural Networks鈥�. In: Edge Intelligence Workshop, Montreal. 2022.

Ardakani A. Clark J.J. Meyer B. Le C. and W. Gross. 鈥淒yadic Integer Only BERT鈥�. In: Edge Intelligence Workshop, Montreal. 2022.

Mozafari S. Clark J.J. Gross W.J. Firouzian N. and Meyer B.H. 鈥淟atency and Accuracy Predictors for Efficient BERT Hardware-aware NAS鈥�. In: Edge Intelligence Workshop, Montreal. 2022.

2021

S. Hasan Mozafari, J. Clark, W. Gross, and B. Meyer. 鈥淚mplementing Convolutional Neural Networks Using Hartley Stochastic Computing with Adaptive Rate Feature Map Compression,鈥� IEEE Open Journal of Circuits and Systems 2, 805-819

A.A. Boatswain Jacques, V.I. Adamchuk, J. Park, G. Cloutier, J.J. Clark, and C. Miller. 鈥淭owards a Machine Vision-Based Yield Monitor for the Counting and Quality Mapping of Shallots,鈥� Frontiers in Robotics and AI, 8:627067

Q. Tian, T. Arbel, and J.J. Clark. 鈥淭ask dependent deep LDA pruning of neural network,鈥� Computer Vision and Image Understanding, 203, p.103154, January 2021

S. Rangrej and J. J. Clark. 鈥淎 Probabilistic Hard Attention Model For Sequentially Observed Scenes,鈥� 2021 British Machine Vision Conference

S. Hasan Mozafari, J.J. Clark, W. Gross, and B. Meyer. 鈥淗artley Stochastic Computing For Convolutional Neural Networks,鈥� 2021 International Workshop on Signal Processing Systems, 1-6

A. Edalati, M. Tahaei, A. Rashid, V. Partovi Nia, J.J. Clark, and M. Rezagholizadeh. 鈥淜ronecker Decomposition for GPT Compression,鈥� NeurIPS 2021 Efficient Natural Language and Speech Processing Workshop.

S. Vadacchino, J.J. Clark, and T. Arbel. 鈥淗AD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images,鈥� MIDL 2021 conference.

K. Sayar, N. Muthukrishnan, P. Savadjiev, S. Bhatnagar, J.J. Clark, and R. Forghani. 鈥淢edical Image Analysis Using Standard Radiomic Features and Mean Curvature of Isophotes for Prediction of Cervical Lymph Node Metastasis,鈥� 2021 SIIM Conference on Machine Intelligence in Medical Imaging.

J.J. Clark. 鈥淎ctive Sensor (Eye) Movement Control,鈥� in Computer Vision: A Reference Guide (2021 edition), ed K. Ikeuchi, Springer US, New York, 2021.

A. Edalati, M. Tahaei, A. Rashid, V.P. Nia, J.J. Clark, and M. Rezagholizadeh. 鈥淜ronecker Decomposition for GPT Compression,鈥� arXiv preprint arXiv:2110.08152. 2021 Oct 15.

A. Chubarau and J.J. Clark. 鈥淰TAMIQ: Transformers for Attention Modulated Image Quality Assessment,鈥� arXiv preprint arXiv:2110.01655. 2021 Oct 4. S.B. Rangrej and J.J. Clark. 鈥淰isual Attention in Imaginative Agents,鈥� arXiv preprint arXiv:2104.00177. 2021 Apr 1.

S. Vadacchino, R.Mehta, N.M. Sepahvand, B. Nichyporuk, J.J. Clark, and T. Arbel. 鈥淗AD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images,鈥� arXiv e-prints. 2021 Mar:arXiv-2103.

2020

Chubarau, A., Akhavan, T., Yoo, H., Mantiuk, R. and Clark, J.J., 鈥淧erceptual Image Quality Assessment for Various Viewing Conditions and Display Systems", Electronic Imaging: Image Quality and System Performance XVII, Burlingame, USA, January 2020.

Tian, Q., Arbel, T. and Clark, J.J., 鈥淒eep LDA-Pruned Nets and their Robustness ", Edge Intelligence Workshop, Montreal, March 2020.

Amara, I. and Clark, J.J., 鈥淯ncertainty Transfer with Knowledge Distillation", Edge Intelligence Workshop, Montreal, March 2020.

2019

Ra, K. and Clark, J.J., 鈥淒ecoupled Hybrid 360DEG Panoramic Stereo Video鈥�. International Conference on 3D Vision (3DV), Quebec City, September 2019.

Corcoran, G. and Clark, J.J., 鈥淭raffic Risk Assessment: A Two-Stream Approach Using Dynamic-Attention鈥�, Computer and Robot Vision Conference (CRV), Kingston, Canada, May 2019.

Hu, G. and Clark, J.J., 鈥淚nstance Segmentation based Semantic Matting for Compositing Applications鈥�, Computer and Robot Vision Conference (CRV), Kingston, Canada, May 2019.

2018

Tian, Q., Arbel, T., Clark, J.J., 鈥淪tructured Deep Fisher Pruning for Efficient Facial Trait Classification鈥欌��, Image and Vision Computing, Special issue on Biometrics in the Wild, Volume 77, pp. 45-59, September 2018.

Boatswain Jacques, A.A., Adamchuk, V., Cloutier, G., Clark, J.J., Miller, C., 鈥淒evelopment of a Machine Vision Yield Monitor for Shallot Onion Harvesters鈥�, 14th International Conference on Precision Agriculture, Montreal, Canada, June 2018.

Gorji, S. and Clark, J.J., "Going from Image to Video Saliency: Augmenting Image Salience with Dynamic Attentional Push", IEEE Confer-ence on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, June 2018.

Yu, B. and Clark, J.J., "WAYLA - Generating Images from Eye Movements", Computer and Robot Vision Conference (CRV), Toronto, Cana-da, May 2018.

Ward, G., Rafi Nazari, M., Soudi, A., Akhavan, T., Yoo, H., Gerhardt, J., Clark, J.J., "Mitigating Color Deficiency in Graphical Display鈥�, Society for Information Display鈥檚 Display Week Symposium, Los Angeles USA, May 2018.

2017

Bouchard, J. and Clark, J.J., 鈥淨uality Control of Stereoscopic 3-D Compositing Using Half-Occlusion Geometry鈥�, SMPTE Motion Imaging Journal, No. 9, pp 48-58, 2017.

Bouchard, J. and Clark, J.J., 鈥淗alf-Occluded Regions: The Key to Detecting a Diverse Array of Defects in S3D Imagery鈥�, IC3D 2017 (Stereopsia), Brussels, Belgium, December 2017.

Tian, Q., Arbel, T. and Clark, J.J., 鈥淒eep LDA-Pruned Nets for Efficient Facial Gender Classification鈥�, IEEE Computer Society Workshop on Biometrics 2017, Hawaii, July 2017.

Gorji, S. and Clark, J.J., 鈥淎ttentional Push: A Deep Convolutional Network for Augmenting Image Salience with Shared Attention Modeling in Social Scenes鈥�, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, July 2017.