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2020 – today
- 2024
- [j27]Yinan Wang, Sansitha Panchadsaram, Rezvan Sherkati, James J. Clark:
An egocentric video and eye-tracking dataset for visual search in convenience stores. Comput. Vis. Image Underst. 248: 104129 (2024) - [c85]Farzaneh Askari, Cyril Yared, Rohit Ramaprasad, Devin Garg, Anjun Hu, James J. Clark:
Video Interaction Recognition using an Attention Augmented Relational Network and Skeleton Data. CVPR Workshops 2024: 3225-3234 - [c84]Hang Zhang, Seyyed Hasan Mozafari, James J. Clark, Brett H. Meyer, Warren J. Gross:
Intermediate Layer Distillation with the Reused Teacher Classifier: A Study on the Importance of the Classifier of Attention-based Models. EMNLP (Findings) 2024: 7203-7212 - [i29]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) - [i28]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) - [i27]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) - [i26]Youyuan Zhang, Xuan Ju, James J. Clark:
FastVideoEdit: Leveraging Consistency Models for Efficient Text-to-Video Editing. CoRR abs/2403.06269 (2024) - [i25]Ye Yuan, Youyuan Zhang, Can Chen, Haolun Wu, Zixuan Li, Jianmo Li, James J. Clark, Xue Liu:
Design Editing for Offline Model-based Optimization. CoRR abs/2405.13964 (2024) - [i24]Mohammadreza Tayaranian, Seyyed Hasan Mozafari, Brett H. Meyer, James J. Clark, Warren J. Gross:
Automatic Pruning of Fine-tuning Datasets for Transformer-based Language Models. CoRR abs/2407.08887 (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 - [c82]Rezvan Sherkati, James J. Clark:
Clustered Saliency Prediction. BMVC 2023: 499-500 - [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 - [c79]Farzaneh Askari, Ruixi Jiang, Zhiwei Li, Jiatong Niu, Yuyan Shi, James J. Clark:
Self-Supervised Video Interaction Classification using Image Representation of Skeleton Data. CVPR Workshops 2023: 5229-5238 - [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 - [c70]Farzaneh Askari, Rohit Ramaprasad, James J. Clark, Martin D. Levine:
Interaction Classification with Key Actor Detection in Multi-Person Sports Videos. CVPR Workshops 2022: 3579-3587 - [c69]Zahra Vaseqi, Pengnan Fan, James J. Clark, Martin Levine:
A Framework for Video-Text Retrieval with Noisy Supervision. ICMI 2022: 373-383 - [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) - [i20]Rezvan Sherkati, James J. Clark:
Clustered Saliency Prediction. CoRR abs/2207.02205 (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) - [i16]James J. Clark:
Immunological Approaches to Load Balancing in MIMD Systems. CoRR abs/2210.01222 (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) - [j23]Amanda A. Boatswain Jacques, Viacheslav I. Adamchuk, Jaesung Park, Guillaume Cloutier, James J. Clark, Connor Miller:
Towards a Machine Vision-Based Yield Monitor for the Counting and Quality Mapping of Shallots. Frontiers Robotics AI 8: 627067 (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)
2010 – 2019
- 2019
- [c62]Kevin Kyunghwan Ra, James J. Clark:
Decoupled Hybrid 360° Panoramic Stereo Video. 3DV 2019: 386-394 - [c61]Guanqing Hu, James J. Clark:
Instance Segmentation Based Semantic Matting for Compositing Applications. CRV 2019: 135-142 - [c60]Gary-Patrick Corcoran, James J. Clark:
Traffic Risk Assessment: A Two-Stream Approach Using Dynamic-Attention. CRV 2019: 166-173 - [i6]Guanqing Hu, James J. Clark:
Instance Segmentation based Semantic Matting for Compositing Applications. CoRR abs/1904.05457 (2019) - 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) - [c59]Bingqing Yu, James J. Clark:
WAYLA - Generating Images from Eye Movements. CRV 2018: 118-125 - [c58]Siavash Gorji, James J. Clark:
Going From Image to Video Saliency: Augmenting Image Salience With Dynamic Attentional Push. CVPR 2018: 7501-7511 - [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 - [c56]Siavash Gorji, James J. Clark:
Attentional Push: A Deep Convolutional Network for Augmenting Image Salience with Shared Attention Modeling in Social Scenes. CVPR 2017: 3472-3481 - [c55]Jonathan Bouchard, James J. Clark:
Half-occluded regions: The key to detecting a diverse array of defects in S3D imagery. IC3D 2017: 1-8 - [i4]Qing Tian, Tal Arbel, James J. Clark:
Efficient Gender Classification Using a Deep LDA-Pruned Net. CoRR abs/1704.06305 (2017) - [i3]Bingqing Yu, James J. Clark:
WAYLA - Generating Images from Eye Movements. CoRR abs/1711.07974 (2017) - [i2]Bingqing Yu, James J. Clark:
Personalization of Saliency Estimation. CoRR abs/1711.08000 (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 - [c53]Xin Gao, Bingqing Yu, Liqiang Ding, James J. Clark:
Generation of Spatial-Temporal Panoramas with a Single Moving Camera. CRV 2016: 289-295 - [c52]Qing Tian, Tal Arbel, James J. Clark:
Shannon information based adaptive sampling for action recognition. ICPR 2016: 967-972 - [i1]Siavash Gorji, James J. Clark:
Attentional Push: Augmenting Salience with Shared Attention Modeling. CoRR abs/1609.00072 (2016) - 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) - [c51]Jonathan Bouchard, Yasin Nazzar, James J. Clark:
Half-Occluded Regions and Detection of Pseudoscopy. 3DV 2015: 215-223 - [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 - [c44]Yasin Nazzar, Jonathan Bouchard, James J. Clark:
Detection of stereo window violation in 3D movies. SIGGRAPH Posters 2014: 61:1 - [r1]James J. Clark:
Active Sensor (Eye) Movement Control. Computer Vision, A Reference Guide 2014: 5-8 - 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
- [j15]James J. Clark:
Photometric stereo using LCD displays. Image Vis. Comput. 28(4): 704-714 (2010) - [c35]Meltem Demirkus, Matthew Toews, James J. Clark, Tal Arbel:
Gender classification from unconstrained video sequences. CVPR Workshops 2010: 55-62
2000 – 2009
- 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
- [j13]Li Jie, James J. Clark:
Video game design using an eye-movement-dependent model of visual attention. ACM Trans. Multim. Comput. Commun. Appl. 4(3): 22:1-22:16 (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 - [c29]Li Jie, James J. Clark:
Game Design Guided by Visual Attention. ICEC 2007: 345-355 - [c28]Muhua Li, James J. Clark:
Selective Attention in the Learning of Viewpoint and Position Invariance. WAPCV 2007: 263-276 - 2006
- [c27]James J. Clark:
Photometric Stereo with Nearby Planar Distributed Illuminants. CRV 2006: 16 - [c26]Trevor Ahmedali, James J. Clark:
Collaborative Multi-Camera Surveillance with Automated Person Detection. CRV 2006: 39 - [c25]Carmen E. Au, Sandra Skaff, James J. Clark:
Anomaly Detection for Video Surveillance Applications. ICPR (4) 2006: 888-891 - 2005
- [j12]Vinod Nair, Pierre-Olivier Laprise, James J. Clark:
An FPGA-Based People Detection System. EURASIP J. Adv. Signal Process. 2005(7): 1047-1061 (2005) - [c24]Muhua Li, James J. Clark:
Selective Attention in the Learning of Invariant Representation of Objects. CVPR Workshops 2005: 93 - 2004
- [j11]Muhua Li, James J. Clark:
A Temporal Stability Approach to Position and Attention-Shift-Invariant Recognition. Neural Comput. 16(11): 2293-2321 (2004) - [c23]Vinod Nair, James J. Clark:
An Unsupervised, Online Learning Framework for Moving Object Detection. CVPR (2) 2004: 317-324 - [c22]Tina Ehtiati, James J. Clark:
A Strongly Coupled Architecture for Contextual Object and Scene Identification. ICPR (3) 2004: 69-72 - [c21]Muhua Li, James J. Clark:
Learning of Position-Invariant Object Representation Across Attention Shifts. WAPCV 2004: 57-70 - 2002
- [c20]Mathieu Lamarre, James J. Clark:
Background Subtraction Using Competing Models in the Block-DCT Domain. ICPR (1) 2002: 299-302 - [c19]Sandra Skaff, Tal Arbel, James J. Clark:
Active Bayesian Color Constancy with Non-Uniform Sensors. ICPR (2) 2002: 681-684 - 2001
- [j10]James J. Clark:
Guest Editor's Introduction. Int. J. Comput. Vis. 43(3): 139-140 (2001) - [j9]James J. Clark, Lei Wang:
Active Shape-from-Shadows with Controlled Illuminant Trajectories. Int. J. Comput. Vis. 43(3): 141-166 (2001) - [j8]F. Hamze, James J. Clark:
View-based route-learning with self-organizing neural networks. Image Vis. Comput. 19(11): 753-761 (2001) - 2000
- [c18]James J. Clark, J. Kevin O'Regan:
A Temporal-Difference Model of Perceptual Stability in Color Vision. ICPR 2000: 2503-2506
1990 – 1999
- 1999
- [c17]James J. Clark, Holly Pekau:
An Integral Formulation for Differential Photometric Stereo. CVPR 1999: 1119-1124 - 1998
- [c16]James J. Clark:
Spatial Attention and Saccadic Camera Motion. ICRA 1998: 3247-3252 - 1997
- [c15]James J. Clark, Lei Wang:
Trajectories for optimal temporal integration in active vision systems. ICRA 1997: 431-436 - 1995
- [c14]Michael J. Weisman, Alan L. Yuille, James J. Clark:
Parameterized Surface Fitting via MAP Estimation for Binocular Stereo. ICRA 1995: 2049-2053 - 1994
- [j7]Navin Saxena, James J. Clark:
A four-quadrant CMOS analog multiplier for analog neural networks. IEEE J. Solid State Circuits 29(6): 746-749 (1994) - [c13]Lei Wang, James J. Clark:
Active Shape and Depth Extraction from Shadow Images. ICIP (1) 1994: 550-553 - [c12]James J. Clark, Robert P. Hewes:
MIMD Image Analysis with Local Agents. ICIP (3) 1994: 681-685 - 1993
- [j6]Nicola J. Ferrier, James J. Clark:
The Harvard Binocular Head. Int. J. Pattern Recognit. Artif. Intell. 7(1): 9-31 (1993) - 1992
- [c11]James J. Clark:
Active photometric stereo. CVPR 1992: 29-34 - 1991
- [c10]James J. Clark, Daniel J. Friedman:
VLSI sensori-motor systems. ICRA 1991: 1342-1347 - 1990
- [c9]Douglas Cochran, James J. Clark:
On the sampling and reconstruction of time-warped bandlimited signals. ICASSP 1990: 1539-1541 - [c8]James J. Clark, Alan L. Yuille:
Shape from shading via the fusion of specular and Lambertian image components. ICPR (1) 1990: 88-92 - [c7]Ten-lee Hwang, James J. Clark:
On local detection of moving edges. ICPR (1) 1990: 180-184 - [c6]Ten-lee Hwang, James J. Clark:
A spatio-temporal generalization of Canny's edge detector. ICPR (1) 1990: 314-318 - [c5]Azer Bestavros, James J. Clark, Nicola J. Ferrier:
Management of sensory-motor activity in mobile robots. ICRA 1990: 592-597
1980 – 1989
- 1989
- [j5]James J. Clark:
Authenticating Edges Produced by Zero-Crossing Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 11(1): 43-57 (1989) - [c4]Ten-lee Hwang, James J. Clark, Alan L. Yuille:
A depth recovery algorithm using defocus information. CVPR 1989: 476-482 - [c3]James J. Clark, Nicola J. Ferrier:
Control of visual attention in mobile robots. ICRA 1989: 826-831 - 1988
- [j4]James J. Clark:
Singularity Theory and Phantom Edges in Scale Space. IEEE Trans. Pattern Anal. Mach. Intell. 10(5): 720-727 (1988) - [c2]James J. Clark, Nicola J. Ferrier:
Modal Control Of An Attentive Vision System. ICCV 1988: 514-523 - [c1]James J. Clark:
A magnetic field based compliance matching sensor for high resolution, high compliance tactile sensing. ICRA 1988: 772-777 - 1986
- [j3]James J. Clark, Peter D. Lawrence:
Analysis of the error in the reconstruction of N-dimensional stochastic processes. IEEE Trans. Acoust. Speech Signal Process. 34(5): 1326-1329 (1986) - 1985
- [j2]James J. Clark, Peter D. Lawrence:
A systolic parallel processor for the rapid computation of multiresolution edge images using the ▿2G operator. J. Parallel Distributed Comput. 2(3): 302-319 (1985) - [j1]James J. Clark, Matthew R. Palmer, Peter D. Lawrence:
A transformation method for the reconstruction of functions from nonuniformly spaced samples. IEEE Trans. Acoust. Speech Signal Process. 33(5): 1151-1165 (1985)
Coauthor Index
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last updated on 2024-11-15 19:30 CET by the dblp team
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