Talking Papers Podcast

 In this episode of the Talking Papers Podcast, I hosted Dejan Azinović to chat about his paper "Neural RGB-D Surface Reconstruction”, published in CVPR 2022. In this paper, they take on the task of RGBD surface reconstruction by using novel view synthesis.  They incorporate depth measurements into the radiance field formulation by learning a neural network that stores a truncated signed dist...

In this episode of the Talking Papers Podcast, I hosted Yuliang Xiu to chat about his paper "ICON: Implicit Clothed humans Obtained from Normals”, published in CVPR 2022. SMPL(-X) body model to infer clothed humans (conditioned on the normals).  Additionally, they propose an inference-time feedback loop that alternates between refining the body's normals and the shape.  PAPER TITLE  &quo...

In this episode of the Talking Papers Podcast, I hosted Itai Lang to chat about his paper "SampleNet: Differentiable Point Cloud Sampling”, published in CVPR 2020. In this paper, they propose a point soft-projection to allow differentiating through the sampling operation and enable learning task-specific point sampling. Combined with their regularization and task-specific losses, they can red...

In this episode of the Talking Papers Podcast, I hosted Manuel Dahnert to chat about his paper “Panoptic 3D Scene Reconstruction From a Single RGB Image”, published in NeurIPS 2021.  In this paper, they unify the task of reconstruction, semantic segmentation and instance segmentation in 3D from a single RGB image. They propose a holistic approach to lift the 2D features into a 3D grid.  Manuel is...

In this episode of the Talking Papers Podcast, I hosted Songyou Peng to chat about his paper “Shape As Points: A Differentiable Poisson Solver”, published in NeurIPS 2021. In this paper, they take on the task of surface reconstruction and propose a hybrid representation that unifies explicit and implicit representation in addition to a differentiable solver for the classic Poisson surface reconstr...

PAPER TITLE: " VLN BERT:  A Recurrent Vision-and-Language BERT for Navigation " AUTHORS:  Yicong Hong, Qi Wu, Yuankai Qi, Cristian Rodriguez-Opazo, Stephen Gould ABSTRACT: Accuracy of many visiolinguistic tasks has benefited significantly from the application of vision-and-language (V&L) BERT. However, its application for the task of vision and-language navigation (VLN) remains limit...

PAPER TITLE  Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks AUTHORS Despoina Paschalidou , Angelos Katharopoulos , Andreas Geiger , Sanja Fidler ABSTRACT Impressive progress in 3D shape extraction led to representations that can capture object geometries with high fidelity. In parallel, primitive-based methods seek to represent objects as semantically consi...

PAPER TITLE: Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction AUTHORS:  Guy Gafni      Justus Thies      Michael Zollhöfer     Matthias Nießner    Project page: https://gafniguy.github.io/4D-Facial-Avatars/ CODE: 💻 https://github.com/gafniguy/4D-Facial-Avatars ABSTRACT: We present dynamic neural radiance fields for modeling the appearance and dynamics of a human face....

PAPER TITLE: " UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders " AUTHORS: Jing Zhang, Deng-Ping Fan, Yuchao Dai, Saeed Anwar, Fatemeh Sadat Saleh, Tong Zhang, Nick Barnes ABSTRACT: In this paper, we propose the first framework (UCNet) to employ uncertainty for RGB-D saliency detection by learning from the data labeling process. Existing RGB-...

PAPER TITLE: " Deep Declarative Networks: a new hope " AUTHORS: Stephen Gould, Richard Hartley, Dylan Campbell ABSTRACT: We explore a new class of end-to-end learnable models wherein data processing nodes (or network layers) are defined in terms of desired behaviour rather than an explicit forward function. Specifically, the forward function is implicitly defined as the solution to a mat...

Paper title: " DORi: Discovering Object Relationships for Moment Localization of a Natural Language Query in a Video " Authors:  Cristian Rodriguez-Opazo, Edison Marrese-Taylor, Basura Fernando, Hongdong Li, Stephen Gould Abstract: This paper studies the task of temporal moment localization in a long untrimmed video using natural language query. Given a query sentence, the goal is to det...