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Machine Intelligence Laboratory: Publications (Medical Imaging and…
mi.eng.cam.ac.uk/reports/index-biomed.html17 May 2021: Contact:Title A NEW METHOD FOR THE ACQUISITION OF ULTRASONIC STRAIN IMAGE VOLUMES. -
Who Left the Dogs Out?3D Animal Reconstruction with Expectation ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ECCV-3D-dog-reconstruction.pdf28 Jun 2021: 4.1 StanfordExtra: A new large-scale dog dataset with 2D keypointand silhouette annotations. ... 4.2 Evaluation protocol. Our evaluation is based on our new StanfordExtra dataset. -
Machine Intelligence Laboratory: Publications (Neural Nets)
mi.eng.cam.ac.uk/reports/index-neural.html17 May 2021: Title LEARNING NEW ARTICULATOR TRAJECTORIES FOR A SPEECH PRODUCTION MODEL USING ARTIFICIAL NEURAL NETWORKS. -
Machine Intelligence Laboratory: Publications (Vision)
mi.eng.cam.ac.uk/reports/index-vision.html17 May 2021: Contact:Title A NEW LOOK AT FILTERING TECHNIQUES FOR ILLUMINATION INVARIANCE IN AUTOMATIC FACE RECOGNITION. -
Embodied Visual Navigation With Automatic Curriculum Learning in Real …
mi.eng.cam.ac.uk/~cipolla/publications/article/2021-RA-embodied-visual-navigation.pdf28 Jun 2021: Image-based representations match a reference imageof the target object to the current agent observation, requir-ing a new image for each specific object instance. ... We found agentshad trouble navigating to new spaces in larger, unseen environ-ments. -
Machine Intelligence Laboratory: Publications (Speech)
mi.eng.cam.ac.uk/reports/index-speech.html17 May 2021: Contact:Title THE CUHTK-ENTROPIC 10XRT BROADCAST NEWS TRANSCRIPTION SYSTEM. Abstract: odell_darpa99. ... Contact:Title SEGMENT GENERATION AND CLUSTERING IN THE HTK BROADCAST NEWS TRANSCRIPTION SYSTEM. -
Machine Intelligence Laboratory: Publications
mi.eng.cam.ac.uk/reports/index-full.html17 May 2021: Contact:Title A NEW METHOD FOR THE ACQUISITION OF ULTRASONIC STRAIN IMAGE VOLUMES. ... Contact:Title IMPROVING BROADCAST NEWS TRANSCRIPTION BY LIGHTLY SUPERVISED DISCRIMINATIVE TRAINING. Abstract: chan_icassp2004. -
Who Left the Dogs Out?3D Animal Reconstruction with Expectation ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ECCV-3D-dog-reconstruction.pdf28 Jun 2021: 4.1 StanfordExtra: A new large-scale dog dataset with 2D keypointand silhouette annotations. ... 4.2 Evaluation protocol. Our evaluation is based on our new StanfordExtra dataset. -
FootNet: An Efficient Convolutional Network forMultiview 3D Foot…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-CNN-foot-reconstruction.pdf28 Jun 2021: Anotherapproach [25] uses deep learning to infer the foot shape from a single depthmap by synthesising a new view that contains information of the foot missingfrom the input. -
LOGOTHETIS ET AL.: A CNN BASED APPROACH FOR THE ...
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-BMVC-CNN-NF-Photometric-Stereo.pdf28 Jun 2021: The procedure involves comput-ing the near to far conversion as described, obtaining a new normal map estimatethrough the CNN and finally numerical integration. -
Efficient Large-Scale Semantic VisualLocalization in 2D Maps Tomas…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-Large-scale-localization.pdf28 Jun 2021: Moreover, our method is easily adaptable to a new city (download-ing a 2D map and training) where [3] needs to collect a new set of trainingimages. -
Embodied Visual Navigation With Automatic Curriculum Learning in Real …
mi.eng.cam.ac.uk/~cipolla/archive/Publications/article/2021-RA-embodied-visual-navigation.pdf28 Jun 2021: Image-based representations match a reference imageof the target object to the current agent observation, requir-ing a new image for each specific object instance. ... We found agentshad trouble navigating to new spaces in larger, unseen environ-ments. -
FootNet: An Efficient Convolutional Network forMultiview 3D Foot…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-CNN-foot-reconstruction.pdf28 Jun 2021: Anotherapproach [25] uses deep learning to infer the foot shape from a single depthmap by synthesising a new view that contains information of the foot missingfrom the input. -
LOGOTHETIS ET AL.: A CNN BASED APPROACH FOR THE ...
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-BMVC-CNN-NF-Photometric-Stereo.pdf28 Jun 2021: The procedure involves comput-ing the near to far conversion as described, obtaining a new normal map estimatethrough the CNN and finally numerical integration. -
Efficient Large-Scale Semantic VisualLocalization in 2D Maps Tomas…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-Large-scale-localization.pdf28 Jun 2021: Moreover, our method is easily adaptable to a new city (download-ing a 2D map and training) where [3] needs to collect a new set of trainingimages. -
Rotation Equivariant Orientation Estimation forOmnidirectional…
mi.eng.cam.ac.uk/~cipolla/publications/inproceedings/2020-ACCV-Rotation-equivariant-localisation.pdf28 Jun 2021: We deal with the former type as we present a new approach to pose re-gression under challenging rotations at test time, but our method is applicableto other frameworks. ... Inparticular, we investigate testing on images from new positions but with -
Rotation Equivariant Orientation Estimation forOmnidirectional…
mi.eng.cam.ac.uk/~cipolla/archive/Publications/inproceedings/2020-ACCV-Rotation-equivariant-localisation.pdf28 Jun 2021: We deal with the former type as we present a new approach to pose re-gression under challenging rotations at test time, but our method is applicableto other frameworks. ... Inparticular, we investigate testing on images from new positions but with -
Deep Learning for Automatic Assessment and Feedback of Spoken English
mi.eng.cam.ac.uk/~mjfg/thesis_kk492.pdf17 Nov 2021: classification Determining which of one or more pre-defined categories a new observationbelongs to e.g.
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