Sanja Fidler

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UNIVERSITY OF TORONTO ∙ Nvidia

Assistant Professor at University of Toronto

NP-DRAW: A Non-Parametric Structured Latent Variable Modelfor Image Generation

In this paper, we present a non-parametric structured latent variable mo...
06/25/2021 ∙ by Xiaohui Zeng, et al. ∙ 17 ∙ share

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f-Domain-Adversarial Learning: Theory and Algorithms

Unsupervised domain adaptation is used in many machine learning applicat...
06/21/2021 ∙ by David Acuna, et al. ∙ 55 ∙ share

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Low Budget Active Learning via Wasserstein Distance: An Integer Programming Approach

Given restrictions on the availability of data, active learning is the p...
06/05/2021 ∙ by Rafid Mahmood, et al. ∙ 49 ∙ share

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DriveGAN: Towards a Controllable High-Quality Neural Simulation

Realistic simulators are critical for training and verifying robotics sy...
04/30/2021 ∙ by Seung Wook Kim, et al. ∙ 56 ∙ share

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Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets

Data is the engine of modern computer vision, which necessitates collect...
04/26/2021 ∙ by Yuan-Hong Liao, et al. ∙ 9 ∙ share

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DatasetGAN: Efficient Labeled Data Factory with Minimal Human Effort

We introduce DatasetGAN: an automatic procedure to generate massive data...
04/13/2021 ∙ by Yuxuan Zhang, et al. ∙ 40 ∙ share

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Semantic Segmentation with Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization

Training deep networks with limited labeled data while achieving a stron...
04/12/2021 ∙ by Daiqing Li, et al. ∙ 28 ∙ share

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Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection

Training on datasets with long-tailed distributions has been challenging...
04/12/2021 ∙ by Nadine Chang, et al. ∙ 27 ∙ share

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Neural Parts: Learning Expressive 3D Shape Abstractions with Invertible Neural Networks

Impressive progress in 3D shape extraction led to representations that c...
03/18/2021 ∙ by Despoina Paschalidou, et al. ∙ 122 ∙ share

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Neural Geometric Level of Detail: Real-time Rendering with Implicit 3D Shapes

Neural signed distance functions (SDFs) are emerging as an effective rep...
01/26/2021 ∙ by Towaki Takikawa, et al. ∙ 39 ∙ share

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Personalized Federated Learning with First Order Model Optimization

While federated learning traditionally aims to train a single global mod...
12/15/2020 ∙ by Michael Zhang, et al. ∙ 17 ∙ share

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UniCon: Universal Neural Controller For Physics-based Character Motion

The field of physics-based animation is gaining importance due to the in...
11/30/2020 ∙ by Tingwu Wang, et al. ∙ 9 ∙ share

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Emergent Road Rules In Multi-Agent Driving Environments

For autonomous vehicles to safely share the road with human drivers, aut...
11/21/2020 ∙ by Avik Pal, et al. ∙ 3 ∙ share

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Learning Deformable Tetrahedral Meshes for 3D Reconstruction

3D shape representations that accommodate learning-based 3D reconstructi...
11/03/2020 ∙ by Jun Gao, et al. ∙ 17 ∙ share

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Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration

In this paper, we introduce Watch-And-Help (WAH), a challenge for testin...
10/19/2020 ∙ by Xavier Puig, et al. ∙ 15 ∙ share

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The efficacy of Neural Planning Metrics: A meta-analysis of PKL on nuScenes

A high-performing object detection system plays a crucial role in autono...
10/19/2020 ∙ by Yiluan Guo, et al. ∙ 5 ∙ share

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Image GANs meet Differentiable Rendering for Inverse Graphics and Interpretable 3D Neural Rendering

Differentiable rendering has paved the way to training neural networks t...
10/18/2020 ∙ by Yuxuan Zhang, et al. ∙ 10 ∙ share

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Fed-Sim: Federated Simulation for Medical Imaging

Labelling data is expensive and time consuming especially for domains su...
09/01/2020 ∙ by Daiqing Li, et al. ∙ 32 ∙ share

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Interactive Annotation of 3D Object Geometry using 2D Scribbles

Inferring detailed 3D geometry of the scene is crucial for robotics appl...
08/24/2020 ∙ by Tianchang Shen, et al. ∙ 1 ∙ share

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ScribbleBox: Interactive Annotation Framework for Video Object Segmentation

Manually labeling video datasets for segmentation tasks is extremely tim...
08/22/2020 ∙ by Bowen Chen, et al. ∙ 0 ∙ share

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Beyond Fixed Grid: Learning Geometric Image Representation with a Deformable Grid

In modern computer vision, images are typically represented as a fixed u...
08/21/2020 ∙ by Jun Gao, et al. ∙ 0 ∙ share

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Meta-Sim2: Unsupervised Learning of Scene Structure for Synthetic Data Generation

Procedural models are being widely used to synthesize scenes for graphic...
08/20/2020 ∙ by Jeevan Devaranjan, et al. ∙ 15 ∙ share

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Lift, Splat, Shoot: Encoding Images From Arbitrary Camera Rigs by Implicitly Unprojecting to 3D

The goal of perception for autonomous vehicles is to extract semantic re...
08/13/2020 ∙ by Jonah Philion, et al. ∙ 0 ∙ share

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Learning to Simulate Dynamic Environments with GameGAN

Simulation is a crucial component of any robotic system. In order to sim...
05/25/2020 ∙ by Seung Wook Kim, et al. ∙ 19 ∙ share

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Learning to Evaluate Perception Models Using Planner-Centric Metrics

Variants of accuracy and precision are the gold-standard by which the co...
04/19/2020 ∙ by Jonah Philion, et al. ∙ 2 ∙ share

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Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data

Transfer learning has proven to be a successful technique to train deep ...
01/09/2020 ∙ by Xi Yan, et al. ∙ 34 ∙ share

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The Shmoop Corpus: A Dataset of Stories with Loosely Aligned Summaries

Understanding stories is a challenging reading comprehension problem for...
12/30/2019 ∙ by Atef Chaudhury, et al. ∙ 0 ∙ share

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CrevNet: Conditionally Reversible Video Prediction

Applying resolution-preserving blocks is a common practice to maximize i...
10/25/2019 ∙ by Wei Yu, et al. ∙ 0 ∙ share

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DMM-Net: Differentiable Mask-Matching Network for Video Object Segmentation

In this paper, we propose the differentiable mask-matching network (DMM-...
09/27/2019 ∙ by Xiaohui Zeng, et al. ∙ 8 ∙ share

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A Theoretical Analysis of the Number of Shots in Few-Shot Learning

Few-shot classification is the task of predicting the category of an exa...
09/25/2019 ∙ by Tianshi Cao, et al. ∙ 0 ∙ share

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Video Face Clustering with Unknown Number of Clusters

Understanding videos such as TV series and movies requires analyzing who...
08/09/2019 ∙ by Makarand Tapaswi, et al. ∙ 1 ∙ share

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Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer

Many machine learning models operate on images, but ignore the fact that...
08/03/2019 ∙ by Wenzheng Chen, et al. ∙ 14 ∙ share

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Gated-SCNN: Gated Shape CNNs for Semantic Segmentation

Current state-of-the-art methods for image segmentation form a dense ima...
07/12/2019 ∙ by Towaki Takikawa, et al. ∙ 14 ∙ share

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Neural Graph Evolution: Towards Efficient Automatic Robot Design

Despite the recent successes in robotic locomotion control, the design o...
06/12/2019 ∙ by Tingwu Wang, et al. ∙ 0 ∙ share

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EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis

Reducing the test time resource requirements of a neural network while p...
05/15/2019 ∙ by Chaoqi Wang, et al. ∙ 10 ∙ share

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DARNet: Deep Active Ray Network for Building Segmentation

In this paper, we propose a Deep Active Ray Network (DARNet) for automat...
05/15/2019 ∙ by Dominic Cheng, et al. ∙ 0 ∙ share

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Meta-Sim: Learning to Generate Synthetic Datasets

Training models to high-end performance requires availability of large l...
04/25/2019 ∙ by Amlan Kar, et al. ∙ 12 ∙ share

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Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations

We tackle the problem of semantic boundary prediction, which aims to ide...
04/16/2019 ∙ by David Acuna, et al. ∙ 0 ∙ share

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Action Recognition from Single Timestamp Supervision in Untrimmed Videos

Recognising actions in videos relies on labelled supervision during trai...
04/09/2019 ∙ by Davide Moltisanti, et al. ∙ 0 ∙ share

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Mimicking the In-Camera Color Pipeline for Camera-Aware Object Compositing

We present a method for compositing virtual objects into a photograph su...
03/27/2019 ∙ by Jun Gao, et al. ∙ 0 ∙ share

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Fast Interactive Object Annotation with Curve-GCN

Manually labeling objects by tracing their boundaries is a laborious pro...
03/16/2019 ∙ by Huan Ling, et al. ∙ 0 ∙ share

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ACTRCE: Augmenting Experience via Teacher's Advice For Multi-Goal Reinforcement Learning

Sparse reward is one of the most challenging problems in reinforcement l...
02/12/2019 ∙ by Harris Chan, et al. ∙ 6 ∙ share

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A Face-to-Face Neural Conversation Model

Neural networks have recently become good at engaging in dialog. However...
12/04/2018 ∙ by Hang Chu, et al. ∙ 1 ∙ share

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SurfConv: Bridging 3D and 2D Convolution for RGBD Images

We tackle the problem of using 3D information in convolutional neural ne...
12/04/2018 ∙ by Hang Chu, et al. ∙ 9 ∙ share

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Lifelong Learning for Image Captioning by Asking Natural Language Questions

In order to bring artificial agents into our lives, we will need to go b...
12/01/2018 ∙ by Kevin Shen, et al. ∙ 0 ∙ share

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A Neural Compositional Paradigm for Image Captioning

Mainstream captioning models often follow a sequential structure to gene...
10/23/2018 ∙ by Bo Dai, et al. ∙ 0 ∙ share

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Pose Estimation for Objects with Rotational Symmetry

Pose estimation is a widely explored problem, enabling many robotic task...
10/13/2018 ∙ by Enric Corona, et al. ∙ 0 ∙ share

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VirtualHome: Simulating Household Activities via Programs

In this paper, we are interested in modeling complex activities that occ...
06/19/2018 ∙ by Xavier Puig, et al. ∙ 0 ∙ share

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Color Sails: Discrete-Continuous Palettes for Deep Color Exploration

We present color sails, a discrete-continuous color gamut representation...
06/07/2018 ∙ by Maria Shugrina, et al. ∙ 0 ∙ share

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Progressive Reasoning by Module Composition

Humans learn to solve tasks of increasing complexity by building on top ...
06/06/2018 ∙ by Seung Wook Kim, et al. ∙ 0 ∙ share

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Sanja Fidler

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