Anoop Cherian

Anoop Cherian
Anoop's Quick Links

  • Biography

    Anoop was a postdoctoral researcher in the LEAR group at Inria from 2012-2015 where his research was on the estimation and tracking of human poses in videos. From 2015-2017, he was a Research Fellow at the Australian National University, where he worked on the problem of recognizing human activities in video sequences. Anoop is the recipient of the Best Student Paper award at the Intl. Conference on Image Processing in 2012. Currently, his research focus is on modeling the semantics of video data.

  • Recent News & Events

    •  NEWS    MERL at the International Conference on Robotics and Automation (ICRA) 2024
      Date: May 13, 2024 - May 17, 2024
      Where: Yokohama, Japan
      MERL Contacts: Anoop Cherian; Radu Corcodel; Stefano Di Cairano; Chiori Hori; Siddarth Jain; Devesh K. Jha; Jonathan Le Roux; Diego Romeres; William S. Yerazunis
      Research Areas: Artificial Intelligence, Machine Learning, Optimization, Robotics, Speech & Audio
      Brief
      • MERL made significant contributions to both the organization and the technical program of the International Conference on Robotics and Automation (ICRA) 2024, which was held in Yokohama, Japan from May 13th to May 17th.

        MERL was a Bronze sponsor of the conference, and exhibited a live robotic demonstration, which attracted a large audience. The demonstration showcased an Autonomous Robotic Assembly technology executed on MELCO's Assista robot arm and was the collaborative effort of the Optimization and Robotics Team together with the Advanced Technology department at Mitsubishi Electric.

        MERL researchers from the Optimization and Robotics, Speech & Audio, and Control for Autonomy teams also presented 8 papers and 2 invited talks covering topics on robotic assembly, applications of LLMs to robotics, human robot interaction, safe and robust path planning for autonomous drones, transfer learning, perception and tactile sensing.
    •  
    •  NEWS    MERL Papers and Workshops at CVPR 2024
      Date: June 17, 2024 - June 21, 2024
      Where: Seattle, WA
      MERL Contacts: Petros T. Boufounos; Moitreya Chatterjee; Anoop Cherian; Michael J. Jones; Toshiaki Koike-Akino; Jonathan Le Roux; Suhas Lohit; Tim K. Marks; Pedro Miraldo; Jing Liu; Kuan-Chuan Peng; Pu (Perry) Wang; Ye Wang; Matthew Brand
      Research Areas: Artificial Intelligence, Computational Sensing, Computer Vision, Machine Learning, Speech & Audio
      Brief
      • MERL researchers are presenting 5 conference papers, 3 workshop papers, and are co-organizing two workshops at the CVPR 2024 conference, which will be held in Seattle, June 17-21. CVPR is one of the most prestigious and competitive international conferences in computer vision. Details of MERL contributions are provided below.

        CVPR Conference Papers:

        1. "TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models" by H. Ni, B. Egger, S. Lohit, A. Cherian, Y. Wang, T. Koike-Akino, S. X. Huang, and T. K. Marks

        This work enables a pretrained text-to-video (T2V) diffusion model to be additionally conditioned on an input image (first video frame), yielding a text+image to video (TI2V) model. Other than using the pretrained T2V model, our method requires no ("zero") training or fine-tuning. The paper uses a "repeat-and-slide" method and diffusion resampling to synthesize videos from a given starting image and text describing the video content.

        Paper: https://www.merl.com/publications/TR2024-059
        Project page: https://merl.com/research/highlights/TI2V-Zero

        2. "Long-Tailed Anomaly Detection with Learnable Class Names" by C.-H. Ho, K.-C. Peng, and N. Vasconcelos

        This work aims to identify defects across various classes without relying on hard-coded class names. We introduce the concept of long-tailed anomaly detection, addressing challenges like class imbalance and dataset variability. Our proposed method combines reconstruction and semantic modules, learning pseudo-class names and utilizing a variational autoencoder for feature synthesis to improve performance in long-tailed datasets, outperforming existing methods in experiments.

        Paper: https://www.merl.com/publications/TR2024-040

        3. "Gear-NeRF: Free-Viewpoint Rendering and Tracking with Motion-aware Spatio-Temporal Sampling" by X. Liu, Y-W. Tai, C-T. Tang, P. Miraldo, S. Lohit, and M. Chatterjee

        This work presents a new strategy for rendering dynamic scenes from novel viewpoints. Our approach is based on stratifying the scene into regions based on the extent of motion of the region, which is automatically determined. Regions with higher motion are permitted a denser spatio-temporal sampling strategy for more faithful rendering of the scene. Additionally, to the best of our knowledge, ours is the first work to enable tracking of objects in the scene from novel views - based on the preferences of a user, provided by a click.

        Paper: https://www.merl.com/publications/TR2024-042

        4. "SIRA: Scalable Inter-frame Relation and Association for Radar Perception" by R. Yataka, P. Wang, P. T. Boufounos, and R. Takahashi

        Overcoming the limitations on radar feature extraction such as low spatial resolution, multipath reflection, and motion blurs, this paper proposes SIRA (Scalable Inter-frame Relation and Association) for scalable radar perception with two designs: 1) extended temporal relation, generalizing the existing temporal relation layer from two frames to multiple inter-frames with temporally regrouped window attention for scalability; and 2) motion consistency track with a pseudo-tracklet generated from observational data for better object association.

        Paper: https://www.merl.com/publications/TR2024-041

        5. "RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation" by Z. Yang, J. Liu, P. Chen, A. Cherian, T. K. Marks, J. L. Roux, and C. Gan

        We leverage Large Language Models (LLM) for zero-shot semantic audio visual navigation. Specifically, by employing multi-modal models to process sensory data, we instruct an LLM-based planner to actively explore the environment by adaptively evaluating and dismissing inaccurate perceptual descriptions.

        Paper: https://www.merl.com/publications/TR2024-043

        CVPR Workshop Papers:

        1. "CoLa-SDF: Controllable Latent StyleSDF for Disentangled 3D Face Generation" by R. Dey, B. Egger, V. Boddeti, Y. Wang, and T. K. Marks

        This paper proposes a new method for generating 3D faces and rendering them to images by combining the controllability of nonlinear 3DMMs with the high fidelity of implicit 3D GANs. Inspired by StyleSDF, our model uses a similar architecture but enforces the latent space to match the interpretable and physical parameters of the nonlinear 3D morphable model MOST-GAN.

        Paper: https://www.merl.com/publications/TR2024-045

        2. “Tracklet-based Explainable Video Anomaly Localization” by A. Singh, M. J. Jones, and E. Learned-Miller

        This paper describes a new method for localizing anomalous activity in video of a scene given sample videos of normal activity from the same scene. The method is based on detecting and tracking objects in the scene and estimating high-level attributes of the objects such as their location, size, short-term trajectory and object class. These high-level attributes can then be used to detect unusual activity as well as to provide a human-understandable explanation for what is unusual about the activity.

        Paper: https://www.merl.com/publications/TR2024-057

        MERL co-organized workshops:

        1. "Multimodal Algorithmic Reasoning Workshop" by A. Cherian, K-C. Peng, S. Lohit, M. Chatterjee, H. Zhou, K. Smith, T. K. Marks, J. Mathissen, and J. Tenenbaum

        Workshop link: https://marworkshop.github.io/cvpr24/index.html

        2. "The 5th Workshop on Fair, Data-Efficient, and Trusted Computer Vision" by K-C. Peng, et al.

        Workshop link: https://fadetrcv.github.io/2024/

        3. "SuperLoRA: Parameter-Efficient Unified Adaptation for Large Vision Models" by X. Chen, J. Liu, Y. Wang, P. Wang, M. Brand, G. Wang, and T. Koike-Akino

        This paper proposes a generalized framework called SuperLoRA that unifies and extends different variants of low-rank adaptation (LoRA). Introducing new options with grouping, folding, shuffling, projection, and tensor decomposition, SuperLoRA offers high flexibility and demonstrates superior performance up to 10-fold gain in parameter efficiency for transfer learning tasks.

        Paper: https://www.merl.com/publications/TR2024-062
    •  

    See All News & Events for Anoop

  • Research Highlights

  • MERL Publications

    •  Cherian, A., Peng, K.-C., Lohit, S., Matthiesen, J., Smith, K., Tenenbaum, J.B., "Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads", arXiv, June 2024.
      BibTeX arXiv
      • @article{Cherian2024jun,
      • author = {Cherian, Anoop and Peng, Kuan-Chuan and Lohit, Suhas and Matthiesen, Joanna and Smith, Kevin and Tenenbaum, Joshua B.}},
      • title = {Evaluating Large Vision-and-Language Models on Children's Mathematical Olympiads},
      • journal = {arXiv},
      • year = 2024,
      • month = jun,
      • url = {https://arxiv.org/abs/2406.15736}
      • }
    •  Ni, H., Egger, B., Lohit, S., Cherian, A., Wang, Y., Koike-Akino, T., Huang, S.X., Marks, T.K., "TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2024.
      BibTeX TR2024-059 PDF Video Software Presentation
      • @inproceedings{Ni2024jun,
      • author = {Ni, Haomiao and Egger, Bernhard and Lohit, Suhas and Cherian, Anoop and Wang, Ye and Koike-Akino, Toshiaki and Huang, Sharon X. and Marks, Tim K.},
      • title = {TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2024,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2024-059}
      • }
    •  He, Y., Cherian, A., Wichern, G., Markham, A., "Deep Neural Room Acoustics Primitive", International Conference on Machine Learning (ICML), June 2024.
      BibTeX TR2024-072 PDF
      • @inproceedings{He2024jun,
      • author = {He, Yuhang and Cherian, Anoop and Wichern, Gordon and Markham, Andrew}},
      • title = {Deep Neural Room Acoustics Primitive},
      • booktitle = {International Conference on Machine Learning (ICML)},
      • year = 2024,
      • month = jun,
      • url = {https://www.merl.com/publications/TR2024-072}
      • }
    •  Yang, Z., Liu, J., Chen, P., Cherian, A., Marks, T.K., Le Roux, J., Gan, C., "RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation", IEEE Conference on Computer Vision and Pattern Recognition (CVPR), April 2024.
      BibTeX TR2024-043 PDF
      • @inproceedings{Yang2024apr,
      • author = {Yang, Zeyuan and Liu, Jiageng and Chen, Peihao and Cherian, Anoop and Marks, Tim K. and Le Roux, Jonathan and Gan, Chuang},
      • title = {RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation},
      • booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2024,
      • month = apr,
      • url = {https://www.merl.com/publications/TR2024-043}
      • }
    •  Zhu, X., Jha, D.K., Romeres, D., Sun, L., Tomizuka, M., Cherian, A., "Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection", IEEE International Conference on Robotics and Automation (ICRA), March 2024.
      BibTeX TR2024-033 PDF Video
      • @inproceedings{Zhu2024mar,
      • author = {Zhu, Xinghao and Jha, Devesh K. and Romeres, Diego and Sun, Lingfeng and Tomizuka, Masayoshi and Cherian, Anoop},
      • title = {Multi-level Reasoning for Robotic Assembly: From Sequence Inference to Contact Selection},
      • booktitle = {IEEE International Conference on Robotics and Automation (ICRA)},
      • year = 2024,
      • month = mar,
      • url = {https://www.merl.com/publications/TR2024-033}
      • }
    See All MERL Publications for Anoop

  • Other Publications

    •  Anoop Cherian and Stephen Gould, "Second-order Temporal Pooling for Action Recognition", International Journal of Computer Vision (IJCV), 2018.
      BibTeX
      • @Article{cherian2018ijcv,
      • author = {Cherian, Anoop and Gould, Stephen},
      • title = {Second-order Temporal Pooling for Action Recognition},
      • journal = {International Journal of Computer Vision (IJCV)},
      • year = 2018,
      • publisher = {Springer}
      • }
    •  Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian and Stephen Gould, "Visual Permutation Learning", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
      BibTeX
      • @Article{cherian2018permutation,
      • author = {Santa Cruz, Rodrigo and Fernando, Basura and Cherian, Anoop and Gould, Stephen},
      • title = {Visual Permutation Learning},
      • journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
      • year = 2018,
      • publisher = {IEEE}
      • }
    •  Jue Wang, Anoop Cherian, Fatih Porikli and Stephen Gould, "Video Representation Learning Using Discriminative Pooling", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
      BibTeX
      • @Inproceedings{cherian_representation_cvpr18,
      • author = {Wang, Jue and Cherian, Anoop and Porikli, Fatih and Gould, Stephen},
      • title = {Video Representation Learning Using Discriminative Pooling},
      • booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2018
      • }
    •  Suryansh Kumar, Anoop Cherian, Yuchao Dai and Hongdong Li, "Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
      BibTeX
      • @Inproceedings{cherian_rigid_cvpr18,
      • author = {Kumar, Suryansh and Cherian, Anoop and Dai, Yuchao and Li, Hongdong},
      • title = {Scalable Dense Non-rigid Structure-from-Motion: A Grassmannian Perspective},
      • booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2018
      • }
    •  Anoop Cherian, Suvrit Sra, Stephen Gould and Richard Hartley, "Non-Linear Temporal Subspace Representations for Activity Recognition", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018.
      BibTeX
      • @Inproceedings{cherian_temporal_cvpr18,
      • author = {Cherian, Anoop and Sra, Suvrit and Gould, Stephen and Hartley, Richard},
      • title = {Non-Linear Temporal Subspace Representations for Activity Recognition},
      • booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2018
      • }
    •  Anoop Cherian, Basura Fernando, Mehrtash Harandi and Stephen Gould, "Generalized Rank Pooling for Activity Recognition", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
      BibTeX
      • @Inproceedings{cherian2017generalized,
      • author = {Cherian, Anoop and Fernando, Basura and Harandi, Mehrtash and Gould, Stephen},
      • title = {Generalized Rank Pooling for Activity Recognition},
      • booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2017
      • }
    •  Anoop Cherian, Panagiotis Stanitsas, Mehrtash Harandi, Vassilios Morellas and Nikolaos Papanikolopoulos, "Learning Discriminative Alpha-Beta Divergences for Positive Definite Matrices", International Conference on Computer Vision (ICCV), 2017.
      BibTeX
      • @Inproceedings{cherian_rigid_iccv17,
      • author = {Cherian, Anoop and Stanitsas, Panagiotis and Harandi, Mehrtash and Morellas, Vassilios and Papanikolopoulos, Nikolaos},
      • title = {Learning Discriminative Alpha-Beta Divergences for Positive Definite Matrices},
      • booktitle = {International Conference on Computer Vision (ICCV)},
      • year = 2017
      • }
    •  Rodrigo Santa Cruz, Basura Fernando, Anoop Cherian and Stephen Gould, "DeepPermNet: Visual Permutation Learning", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017.
      BibTeX
      • @Inproceedings{cruz2017deeppermnet,
      • author = {Cruz, Rodrigo Santa and Fernando, Basura and Cherian, Anoop and Gould, Stephen},
      • title = {DeepPermNet: Visual Permutation Learning},
      • booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2017
      • }
    •  Anoop Cherian, Vassilios Morellas and Nikolaos Papanikolopoulos, "Bayesian Non-Parametric clustering for positive definite matrices", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016.
      BibTeX
      • @Article{cherian2016bayesian,
      • author = {Cherian, Anoop and Morellas, Vassilios and Papanikolopoulos, Nikolaos},
      • title = {Bayesian Non-Parametric clustering for positive definite matrices},
      • journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
      • year = 2016,
      • publisher = {IEEE}
      • }
    •  Piotr Koniusz and Anoop Cherian, "Sparse coding for third-order super-symmetric tensor descriptors with application to texture recognition", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
      BibTeX
      • @Inproceedings{koniusz2016sparse,
      • author = {Koniusz, Piotr and Cherian, Anoop},
      • title = {Sparse coding for third-order super-symmetric tensor descriptors with application to texture recognition},
      • booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2016
      • }
    •  Piotr Koniusz, Anoop Cherian and Fatih Porikli, "Tensor representations via kernel linearization for action recognition from 3D skeletons", European Conference on Computer Vision (ECCV), 2016.
      BibTeX
      • @Inproceedings{koniusz2016tensor,
      • author = {Koniusz, Piotr and Cherian, Anoop and Porikli, Fatih},
      • title = {Tensor representations via kernel linearization for action recognition from 3D skeletons},
      • booktitle = {European Conference on Computer Vision (ECCV)},
      • year = 2016,
      • organization = {Springer}
      • }
    •  Anoop Cherian, Julien Mairal, Karteek Alahari and Cordelia Schmid, "Mixing body-part sequences for human pose estimation", Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2014.
      BibTeX
      • @Inproceedings{cherian2014mixing,
      • author = {Cherian, Anoop and Mairal, Julien and Alahari, Karteek and Schmid, Cordelia},
      • title = {Mixing body-part sequences for human pose estimation},
      • booktitle = {Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
      • year = 2014
      • }
    •  Anoop Cherian, "Nearest neighbors using compact sparse codes", International Conference on Machine Learning (ICML), 2014.
      BibTeX
      • @Inproceedings{cherian2014nearest,
      • author = {Cherian, Anoop},
      • title = {Nearest neighbors using compact sparse codes},
      • booktitle = {International Conference on Machine Learning (ICML)},
      • year = 2014
      • }
    •  Anoop Cherian and Suvrit Sra, "Riemannian sparse coding for positive definite matrices", European Conference on Computer Vision (ECCV), 2014.
      BibTeX
      • @Inproceedings{cherian2014riemannian,
      • author = {Cherian, Anoop and Sra, Suvrit},
      • title = {Riemannian sparse coding for positive definite matrices},
      • booktitle = {European Conference on Computer Vision (ECCV)},
      • year = 2014,
      • organization = {Springer}
      • }
    •  Anoop Cherian, Suvrit Sra, Arindam Banerjee and Nikolaos Papanikolopoulos, "Jensen-Bregman logdet divergence with application to efficient similarity search for covariance matrices", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2013.
      BibTeX
      • @Article{cherian2013jensen,
      • author = {Cherian, Anoop and Sra, Suvrit and Banerjee, Arindam and Papanikolopoulos, Nikolaos},
      • title = {Jensen-Bregman logdet divergence with application to efficient similarity search for covariance matrices},
      • journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)},
      • year = 2013,
      • publisher = {IEEE}
      • }
    •  Anoop Cherian, Vassilios Morellas, Nikolaos Papanikolopoulos and Saad J Bedros, "Dirichlet process mixture models on symmetric positive definite matrices for appearance clustering in video surveillance applications", Computer Vision and Pattern Recognition (CVPR), 2011.
      BibTeX
      • @Inproceedings{cherian2011dirichlet,
      • author = {Cherian, Anoop and Morellas, Vassilios and Papanikolopoulos, Nikolaos and Bedros, Saad J},
      • title = {Dirichlet process mixture models on symmetric positive definite matrices for appearance clustering in video surveillance applications},
      • booktitle = {Computer Vision and Pattern Recognition (CVPR)},
      • year = 2011
      • }
    •  Anoop Cherian, Suvrit Sra, Arindam Banerjee and Nikolaos Papanikolopoulos, "Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet divergence", International Conference on Computer Vision (ICCV), 2011.
      BibTeX
      • @Inproceedings{cherian2011efficient,
      • author = {Cherian, Anoop and Sra, Suvrit and Banerjee, Arindam and Papanikolopoulos, Nikolaos},
      • title = {Efficient similarity search for covariance matrices via the Jensen-Bregman LogDet divergence},
      • booktitle = {International Conference on Computer Vision (ICCV)},
      • year = 2011
      • }
    •  Suvrit Sra and Anoop Cherian, "Generalized dictionary learning for symmetric positive definite matrices with application to nearest neighbor retrieval", Machine Learning and Knowledge Discovery in Databases (ECML), 2011.
      BibTeX
      • @Article{sra2011generalized,
      • author = {Sra, Suvrit and Cherian, Anoop},
      • title = {Generalized dictionary learning for symmetric positive definite matrices with application to nearest neighbor retrieval},
      • journal = {Machine Learning and Knowledge Discovery in Databases (ECML)},
      • year = 2011
      • }
    •  Anoop Cherian, Vassilios Morellas and Nikolaos Papanikolopoulos, "Accurate 3D ground plane estimation from a single image", International Conference on Robotics and Automation, 2009.
      BibTeX
      • @Inproceedings{cherian2009accurate,
      • author = {Cherian, Anoop and Morellas, Vassilios and Papanikolopoulos, Nikolaos},
      • title = {Accurate 3D ground plane estimation from a single image},
      • booktitle = {International Conference on Robotics and Automation},
      • year = 2009
      • }

  • Software & Data Downloads

  • Videos

  • MERL Issued Patents

    • Title: "Artificial Intelligence System for Classification of Data Based on Contrastive Learning"
      Inventors: Cherian, Anoop; Aeron, Shuchin
      Patent No.: 11,809,988
      Issue Date: Nov 7, 2023
    • Title: "System and Method for Manipulating Two-Dimensional (2D) Images of Three-Dimensional (3D) Objects"
      Inventors: Marks, Tim; Medin, Safa; Cherian, Anoop; Wang, Ye
      Patent No.: 11,663,798
      Issue Date: May 30, 2023
    • Title: "InSeGAN: A Generative Approach to Instance Segmentation in Depth Images"
      Inventors: Cherian, Anoop; Pais, Goncalo; Marks, Tim; Sullivan, Alan
      Patent No.: 11,651,497
      Issue Date: May 16, 2023
    • Title: "Method and System for Scene-Aware Interaction"
      Inventors: Hori, Chiori; Cherian, Anoop; Chen, Siheng; Marks, Tim; Le Roux, Jonathan; Hori, Takaaki; Harsham, Bret A.; Vetro, Anthony; Sullivan, Alan
      Patent No.: 11,635,299
      Issue Date: Apr 25, 2023
    • Title: "Scene-Aware Video Encoder System and Method"
      Inventors: Cherian, Anoop; Hori, Chiori; Le Roux, Jonathan; Marks, Tim; Sullivan, Alan
      Patent No.: 11,582,485
      Issue Date: Feb 14, 2023
    • Title: "Low-latency Captioning System"
      Inventors: Hori, Chiori; Hori, Takaaki; Cherian, Anoop; Marks, Tim; Le Roux, Jonathan
      Patent No.: 11,445,267
      Issue Date: Sep 13, 2022
    • Title: "Anomaly Detector for Detecting Anomaly using Complementary Classifiers"
      Inventors: Cherian, Anoop; Wang, Jue
      Patent No.: 11,423,698
      Issue Date: Aug 23, 2022
    • Title: "System and Method for a Dialogue Response Generation System"
      Inventors: Hori, Chiori; Cherian, Anoop; Marks, Tim; Hori, Takaaki
      Patent No.: 11,264,009
      Issue Date: Mar 1, 2022
    • Title: "Scene-Aware Video Dialog"
      Inventors: Geng, Shijie; Gao, Peng; Cherian, Anoop; Hori, Chiori; Le Roux, Jonathan
      Patent No.: 11,210,523
      Issue Date: Dec 28, 2021
    See All Patents for MERL