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James J. Clark
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Publications
- 2024
- [i27]Lulan Shen, Ali Edalati, Brett H. Meyer, Warren J. Gross, James J. Clark:
Robustness to distribution shifts of compressed networks for edge devices. CoRR abs/2401.12014 (2024) - [i26]Lulan Shen, Ali Edalati, Brett H. Meyer, Warren J. Gross, James J. Clark:
AdCorDA: Classifier Refinement via Adversarial Correction and Domain Adaptation. CoRR abs/2401.13212 (2024) - [i25]Mohammadreza Tayaranian, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
Faster Inference of Integer SWIN Transformer by Removing the GELU Activation. CoRR abs/2402.01169 (2024) - 2023
- [j26]Qing Tian, Tal Arbel, James J. Clark:
Grow-push-prune: Aligning deep discriminants for effective structural network compression. Comput. Vis. Image Underst. 231: 103682 (2023) - [j25]Hung-Yang Chang, Seyyed Hasan Mozafari, Cheng Chen, James J. Clark, Brett H. Meyer, Warren J. Gross:
PipeBERT: High-throughput BERT Inference for ARM Big.LITTLE Multi-core Processors. J. Signal Process. Syst. 95(7): 877-894 (2023) - [c83]Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Efficient 1D Grouped Convolution for PyTorch a Case Study: Fast On-Device Fine-Tuning for SqueezeBERT. ASAP 2023: 69-75 - [c81]Ali Mosleh, Marzieh S. Tahaei, James J. Clark, Vahid Partovi Nia:
Towards Low-Cost Learning-based Camera ISP via Unrolled Optimization. CRV 2023: 9-18 - [c80]Lulan Shen, Ibtihel Amara, Ruofeng Li, Brett H. Meyer, Warren J. Gross, James J. Clark:
Fast Fine-Tuning Using Curriculum Domain Adaptation. CRV 2023: 296-303 - [c78]Hung-Yang Chang, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
High-Throughput Edge Inference for BERT Models via Neural Architecture Search and Pipeline. ACM Great Lakes Symposium on VLSI 2023: 455-459 - [c77]Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Training Acceleration of Frequency Domain CNNs Using Activation Compression. ISCAS 2023: 1-5 - [c76]Samrudhdhi B. Rangrej, Kevin J. Liang, Tal Hassner, James J. Clark:
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction. WACV 2023: 3402-3412 - 2022
- [c75]Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh:
Kronecker Decomposition for GPT Compression. ACL (2) 2022: 219-226 - [c74]Murray L. Kornelsen, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
Fast Heterogeneous Task Mapping for Reducing Edge DNN Latency. ASAP 2022: 64-71 - [c73]Negin Firouzian, Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Work-in-Progress: Utilizing latency and accuracy predictors for efficient hardware-aware NAS. CODES+ISSS 2022: 15-16 - [c72]Samrudhdhi B. Rangrej, Chetan L. Srinidhi, James J. Clark:
Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes. CVPR 2022: 2508-2517 - [c71]Lulan Shen, Maryam Ziaeefard, Brett H. Meyer, Warren J. Gross, James J. Clark:
Conjugate Adder Net (CAddNet) - a Space-Efficient Approximate CNN. CVPR Workshops 2022: 2792-2796 - [c68]Ibtihel Amara, Maryam Ziaeefard, Brett H. Meyer, Warren J. Gross, James J. Clark:
CES-KD: Curriculum-based Expert Selection for Guided Knowledge Distillation. ICPR 2022: 1901-1907 - [c67]Danilo Vucetic, Mohammadreza Tayaranian, Maryam Ziaeefard, James J. Clark, Brett H. Meyer, Warren J. Gross:
Efficient Fine-Tuning of BERT Models on the Edge. ISCAS 2022: 1838-1842 - [c66]M. Abdelgawad, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
BERTPerf: Inference Latency Predictor for BERT on ARM big.LITTLE Multi-Core Processors. SiPS 2022: 1-6 - [i23]Amir Ardakani, Arash Ardakani, Brett H. Meyer, James J. Clark, Warren J. Gross:
Standard Deviation-Based Quantization for Deep Neural Networks. CoRR abs/2202.12422 (2022) - [i22]Samrudhdhi B. Rangrej, Chetan L. Srinidhi, James J. Clark:
Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes. CoRR abs/2204.00656 (2022) - [i21]Danilo Vucetic, Mohammadreza Tayaranian, Maryam Ziaeefard, James J. Clark, Brett H. Meyer, Warren J. Gross:
Efficient Fine-Tuning of BERT Models on the Edge. CoRR abs/2205.01541 (2022) - [i19]Danilo Vucetic, Mohammadreza Tayaranian, Maryam Ziaeefard, James J. Clark, Brett H. Meyer, Warren J. Gross:
Efficient Fine-Tuning of Compressed Language Models with Learners. CoRR abs/2208.02070 (2022) - [i18]Ibtihel Amara, Maryam Ziaeefard, Brett H. Meyer, Warren J. Gross, James J. Clark:
CES-KD: Curriculum-based Expert Selection for Guided Knowledge Distillation. CoRR abs/2209.07606 (2022) - [i17]Manoosh Samiei, James J. Clark:
Target Features Affect Visual Search, A Study of Eye Fixations. CoRR abs/2209.13771 (2022) - [i15]Samrudhdhi B. Rangrej, Kevin J. Liang, Tal Hassner, James J. Clark:
GliTr: Glimpse Transformers with Spatiotemporal Consistency for Online Action Prediction. CoRR abs/2210.13605 (2022) - [i14]Manoosh Samiei, James J. Clark:
Predicting Visual Attention and Distraction During Visual Search Using Convolutional Neural Networks. CoRR abs/2210.15093 (2022) - [i13]Ali Edalati, Marzieh S. Tahaei, Ivan Kobyzev, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh:
KronA: Parameter Efficient Tuning with Kronecker Adapter. CoRR abs/2212.10650 (2022) - [i12]Ibtihel Amara, Nazanin Mohammadi Sepahvand, Brett H. Meyer, Warren J. Gross, James J. Clark:
BD-KD: Balancing the Divergences for Online Knowledge Distillation. CoRR abs/2212.12965 (2022) - 2021
- [j24]Qing Tian, Tal Arbel, James J. Clark:
Task dependent deep LDA pruning of neural networks. Comput. Vis. Image Underst. 203: 103154 (2021) - [j22]Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Implementing Convolutional Neural Networks Using Hartley Stochastic Computing With Adaptive Rate Feature Map Compression. IEEE Open J. Circuits Syst. 2: 805-819 (2021) - [c65]Samrudhdhi B. Rangrej, James J. Clark:
A Probabilistic Hard Attention Model For Sequentially Observed Scenes. BMVC 2021: 137 - [c64]Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel:
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images. MIDL 2021: 787-801 - [c63]Seyyed Hasan Mozafari, James J. Clark, Warren J. Gross, Brett H. Meyer:
Hartley Stochastic Computing For Convolutional Neural Networks. SiPS 2021: 1-6 - [i11]Saverio Vadacchino, Raghav Mehta, Nazanin Mohammadi Sepahvand, Brennan Nichyporuk, James J. Clark, Tal Arbel:
HAD-Net: A Hierarchical Adversarial Knowledge Distillation Network for Improved Enhanced Tumour Segmentation Without Post-Contrast Images. CoRR abs/2103.16617 (2021) - [i10]Samrudhdhi B. Rangrej, James J. Clark:
Visual Attention in Imaginative Agents. CoRR abs/2104.00177 (2021) - [i9]Ali Edalati, Marzieh S. Tahaei, Ahmad Rashid, Vahid Partovi Nia, James J. Clark, Mehdi Rezagholizadeh:
Kronecker Decomposition for GPT Compression. CoRR abs/2110.08152 (2021) - [i8]Samrudhdhi B. Rangrej, James J. Clark:
A Probabilistic Hard Attention Model For Sequentially Observed Scenes. CoRR abs/2111.07534 (2021) - 2020
- [i7]Qing Tian, Tal Arbel, James J. Clark:
Deep discriminant analysis for task-dependent compact network search. CoRR abs/2009.13716 (2020) - 2018
- [j21]Qing Tian, Tal Arbel, James J. Clark:
Structured deep Fisher pruning for efficient facial trait classification. Image Vis. Comput. 77: 45-59 (2018) - [i5]Qing Tian, Tal Arbel, James J. Clark:
Fisher Pruning of Deep Nets for Facial Trait Classification. CoRR abs/1803.08134 (2018) - 2017
- [c57]Qing Tian, Tal Arbel, James J. Clark:
Deep LDA-Pruned Nets for Efficient Facial Gender Classification. CVPR Workshops 2017: 512-521 - [i4]Qing Tian, Tal Arbel, James J. Clark:
Efficient Gender Classification Using a Deep LDA-Pruned Net. CoRR abs/1704.06305 (2017) - 2016
- [j20]Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Hierarchical Spatio-Temporal Probabilistic Graphical Model with Multiple Feature Fusion for Binary Facial Attribute Classification in Real-World Face Videos. IEEE Trans. Pattern Anal. Mach. Intell. 38(6): 1185-1203 (2016) - [c54]Mehdi Rezagholizadeh, Tara Akhavan, Afsoon Soudi, Hannes Kaufmann, James J. Clark:
A Retargeting Approach for Mesopic Vision: Simulation and Compensation. Color Imaging: Displaying, Processing, Hardcopy, and Applications 2016: 1-12 - [c52]Qing Tian, Tal Arbel, James J. Clark:
Shannon information based adaptive sampling for action recognition. ICPR 2016: 967-972 - 2015
- [j19]Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Hierarchical temporal graphical model for head pose estimation and subsequent attribute classification in real-world videos. Comput. Vis. Image Underst. 136: 128-145 (2015) - [c50]Mehdi Rezagholizadeh, James J. Clark:
Image Sensor Modeling: Noise and Linear Transformation Impacts on the Color Gamut. CRV 2015: 169-175 - 2014
- [j18]Meltem Demirkus, James J. Clark, Tal Arbel:
Robust semi-automatic head pose labeling for real-world face video sequences. Multim. Tools Appl. 70(1): 495-523 (2014) - [c49]Mounia Ziat, Josh Fridstrom, Kurt Kilpela, Jonathan Fancher, James J. Clark:
Ingrid: interactive grid table. CHI Extended Abstracts 2014: 559-562 - [c48]Mehdi Rezagholizadeh, James J. Clark:
Photon Detection and Color Perception at Low Light Levels. CRV 2014: 283-290 - [c47]Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Probabilistic Temporal Head Pose Estimation Using a Hierarchical Graphical Model. ECCV (1) 2014: 328-344 - [c46]Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Multi-layer temporal graphical model for head pose estimation in real-world videos. ICIP 2014: 3392-3396 - [c45]Mehdi Rezagholizadeh, James J. Clark:
Image Sensor Modeling: Color Measurement at Low Light Levels. CIC 2014: 265-275 - 2013
- [c43]Mehdi Rezagholizadeh, James J. Clark:
Edge-Based and Efficient Chromaticity Spatio-spectral Models for Color Constancy. CRV 2013: 188-195 - [c42]Qing Tian, James J. Clark:
Real-Time Specularity Detection Using Unnormalized Wiener Entropy. CRV 2013: 356-363 - [c41]Mehdi Rezagholizadeh, James J. Clark:
Maximum Entropy Spectral Modeling Approach to Mesopic Tone Mapping. CIC 2013: 154-159 - 2012
- [j17]Mounia Ziat, Carmen E. Au, Amin Haji Abolhassani, James J. Clark:
Enhancing visuospatial map learning through action on cellphones. ACM Trans. Appl. Percept. 9(1): 5:1-5:15 (2012) - [c40]Amin Haji Abolhassani, James J. Clark:
Information Fusion in Visual-Task Inference. CRV 2012: 48-55 - [c39]Meltem Demirkus, Doina Precup, James J. Clark, Tal Arbel:
Soft biometric trait classification from real-world face videos conditioned on head pose estimation. CVPR Workshops 2012: 130-137 - 2011
- [j16]Carmen E. Au, James J. Clark:
Integrating multiple views with virtual mirrors to facilitate scene understanding. ACM Trans. Appl. Percept. 8(4): 28:1-28:14 (2011) - [c38]Meltem Demirkus, Boris N. Oreshkin, James J. Clark, Tal Arbel:
Spatial and probabilistic codebook template based head pose estimation from unconstrained environments. ICIP 2011: 573-576 - [c37]Amin Haji Abolhassani, James J. Clark:
Visual Task Inference Using Hidden Markov Models. IJCAI 2011: 1678-1683 - [c36]Carmen E. Au, Victor Ng, James J. Clark:
Mirrormap: augmenting 2d mobile maps with virtual mirrors. Mobile HCI 2011: 255-264 - 2010
- [c35]Meltem Demirkus, Matthew Toews, James J. Clark, Tal Arbel:
Gender classification from unconstrained video sequences. CVPR Workshops 2010: 55-62 - 2009
- [j14]Sandra Skaff, Tal Arbel, James J. Clark:
A sequential Bayesian approach to color constancy using non-uniform filters. Comput. Vis. Image Underst. 113(9): 993-1004 (2009) - 2008
- [c34]Sandra Skaff, James J. Clark, Ioannis M. Rekleitis:
Estimating Surface Reflectance Spectra for Underwater Color Vision. BMVC 2008: 1-10 - [c33]Carmen E. Au, James J. Clark:
Multiple View Integration and Display Using Virtual Mirrors. CRV 2008: 286-293 - [c32]Sandra Skaff, James J. Clark:
Maximum Entropy Spectral Models for Color Constancy in the Presence of Interreflections. CIC 2008: 215-220 - 2007
- [c31]Sandra Skaff, James J. Clark:
Maximum Entropy Spectral Models for Color Constancy. CIC 2007: 100-105 - [c30]Catherine Laporte, James J. Clark, Tal Arbel:
A Fractal Multi-Dimensional Ultrasound Scatterer Distribution Model. ISBI 2007: 880-883 - 2006
- [c25]Carmen E. Au, Sandra Skaff, James J. Clark:
Anomaly Detection for Video Surveillance Applications. ICPR (4) 2006: 888-891 - 2002
- [c19]Sandra Skaff, Tal Arbel, James J. Clark:
Active Bayesian Color Constancy with Non-Uniform Sensors. ICPR (2) 2002: 681-684
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last updated on 2024-04-25 05:44 CEST by the dblp team
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