Jitendra Malik

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berkeley college

Professor of EECS University of California at Berkeley

Habitat: A Platform for Embodied AI Research

We present Habitat, a new platform for research in embodied artificial i...
04/02/2019 ∙ by Manolis Savva, et al. ∙ 58 ∙ share

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Non-Adversarial Image Synthesis with Generative Latent Nearest Neighbors

Unconditional image generation has recently been dominated by generative...
12/21/2018 ∙ by Yedid Hoshen, et al. ∙ 28 ∙ share

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3D Scene Graph: A Structure for Unified Semantics, 3D Space, and Camera

A comprehensive semantic understanding of a scene is important for many ...
10/06/2019 ∙ by Iro Armeni, et al. ∙ 28 ∙ share

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Audiovisual SlowFast Networks for Video Recognition

We present Audiovisual SlowFast Networks, an architecture for integrated...
01/23/2020 ∙ by Fanyi Xiao, et al. ∙ 23 ∙ share

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Implicit Maximum Likelihood Estimation

Implicit probabilistic models are models defined naturally in terms of a...
09/24/2018 ∙ by Ke Li, et al. ∙ 20 ∙ share

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Learning Independent Object Motion from Unlabelled Stereoscopic Videos

We present a system for learning motion of independently moving objects ...
01/07/2019 ∙ by Zhe Cao, et al. ∙ 16 ∙ share

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Diverse Image Synthesis from Semantic Layouts via Conditional IMLE

Most existing methods for conditional image synthesis are only able to g...
11/29/2018 ∙ by Ke Li, et al. ∙ 16 ∙ share

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Predicting 3D Human Dynamics from Video

Given a video of a person in action, we can easily guess the 3D future m...
08/13/2019 ∙ by Jason Y. Zhang, et al. ∙ 15 ∙ share

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Side-Tuning: Network Adaptation via Additive Side Networks

When training a neural network for a desired task, one may prefer to ada...
12/31/2019 ∙ by Jeffrey O Zhang, et al. ∙ 15 ∙ share

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Trajectory Normalized Gradients for Distributed Optimization

Recently, researchers proposed various low-precision gradient compressio...
01/24/2019 ∙ by Jianqiao Wangni, et al. ∙ 14 ∙ share

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Learning Individual Styles of Conversational Gesture

Human speech is often accompanied by hand and arm gestures. Given audio ...
06/10/2019 ∙ by Shiry Ginosar, et al. ∙ 11 ∙ share

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Combining Optimal Control and Learning for Visual Navigation in Novel Environments

Model-based control is a popular paradigm for robot navigation because i...
03/06/2019 ∙ by Somil Bansal, et al. ∙ 10 ∙ share

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Learning Navigation Subroutines by Watching Videos

Hierarchies are an effective way to boost sample efficiency in reinforce...
05/29/2019 ∙ by Ashish Kumar, et al. ∙ 9 ∙ share

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SFV: Reinforcement Learning of Physical Skills from Videos

Data-driven character animation based on motion capture can produce high...
10/08/2018 ∙ by Xue Bin Peng, et al. ∙ 8 ∙ share

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Mid-Level Visual Representations Improve Generalization and Sample Efficiency for Learning Active Tasks

One of the ultimate promises of computer vision is to help robotic agent...
12/31/2018 ∙ by Alexander Sax, et al. ∙ 8 ∙ share

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ShapeMask: Learning to Segment Novel Objects by Refining Shape Priors

Instance segmentation aims to detect and segment individual objects in a...
04/05/2019 ∙ by Weicheng Kuo, et al. ∙ 8 ∙ share

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Multimodal Image Synthesis with Conditional Implicit Maximum Likelihood Estimation

Many tasks in computer vision and graphics fall within the framework of ...
04/07/2020 ∙ by Ke Li, et al. ∙ 7 ∙ share

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More Than a Feeling: Learning to Grasp and Regrasp using Vision and Touch

For humans, the process of grasping an object relies heavily on rich tac...
05/28/2018 ∙ by Roberto Calandra, et al. ∙ 6 ∙ share

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Gibson Env: Real-World Perception for Embodied Agents

Developing visual perception models for active agents and sensorimotor c...
08/31/2018 ∙ by Fei Xia, et al. ∙ 6 ∙ share

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Learning to Navigate Using Mid-Level Visual Priors

How much does having visual priors about the world (e.g. the fact that t...
12/23/2019 ∙ by Alexander Sax, et al. ∙ 6 ∙ share

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Mesh R-CNN

Rapid advances in 2D perception have led to systems that accurately dete...
06/06/2019 ∙ by Georgia Gkioxari, et al. ∙ 5 ∙ share

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Inclusive GAN: Improving Data and Minority Coverage in Generative Models

Generative Adversarial Networks (GANs) have brought about rapid progress...
04/07/2020 ∙ by Ning Yu, et al. ∙ 5 ∙ share

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PatchFCN for Intracranial Hemorrhage Detection

This paper studies the problem of detecting acute intracranial hemorrhag...
06/08/2018 ∙ by Weicheng Kuo, et al. ∙ 2 ∙ share

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Learning Instance Segmentation by Interaction

We present an approach for building an active agent that learns to segme...
06/21/2018 ∙ by Deepak Pathak, et al. ∙ 2 ∙ share

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State-Only Imitation Learning for Dexterous Manipulation

Dexterous manipulation has been a long-standing challenge in robotics. R...
04/07/2020 ∙ by Ilija Radosavovic, et al. ∙ 1 ∙ share

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Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55

We introduce a large-scale 3D shape understanding benchmark using data a...
10/17/2017 ∙ by Li Yi, et al. ∙ 0 ∙ share

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Cognitive Mapping and Planning for Visual Navigation

We introduce a neural architecture for navigation in novel environments....
02/13/2017 ∙ by Saurabh Gupta, et al. ∙ 0 ∙ share

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Learning to Optimize Neural Nets

Learning to Optimize is a recently proposed framework for learning optim...
03/01/2017 ∙ by Ke Li, et al. ∙ 0 ∙ share

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Fast k-Nearest Neighbour Search via Prioritized DCI

Most exact methods for k-nearest neighbour search suffer from the curse ...
03/01/2017 ∙ by Ke Li, et al. ∙ 0 ∙ share

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AVA: A Video Dataset of Spatio-temporally Localized Atomic Visual Actions

This paper introduces a video dataset of spatio-temporally localized Ato...
05/23/2017 ∙ by Chunhui Gu, et al. ∙ 0 ∙ share

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Hierarchical Surface Prediction for 3D Object Reconstruction

Recently, Convolutional Neural Networks have shown promising results for...
04/03/2017 ∙ by Christian Häne, et al. ∙ 0 ∙ share

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Combining Self-Supervised Learning and Imitation for Vision-Based Rope Manipulation

Manipulation of deformable objects, such as ropes and cloth, is an impor...
03/06/2017 ∙ by Ashvin Nair, et al. ∙ 0 ∙ share

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Factoring Shape, Pose, and Layout from the 2D Image of a 3D Scene

The goal of this paper is to take a single 2D image of a scene and recov...
12/05/2017 ∙ by Shubham Tulsiani, et al. ∙ 0 ∙ share

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From Lifestyle Vlogs to Everyday Interactions

A major stumbling block to progress in understanding basic human interac...
12/06/2017 ∙ by David F. Fouhey, et al. ∙ 0 ∙ share

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Learning to Optimize

Algorithm design is a laborious process and often requires many iteratio...
06/06/2016 ∙ by Ke Li, et al. ∙ 0 ∙ share

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Feedback Networks

Currently, the most successful learning models in computer vision are ba...
12/30/2016 ∙ by Amir R. Zamir, et al. ∙ 0 ∙ share

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Beyond Skip Connections: Top-Down Modulation for Object Detection

In recent years, we have seen tremendous progress in the field of object...
12/20/2016 ∙ by Abhinav Shrivastava, et al. ∙ 0 ∙ share

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Learning Shape Abstractions by Assembling Volumetric Primitives

We present a learning framework for abstracting complex shapes by learni...
12/01/2016 ∙ by Shubham Tulsiani, et al. ∙ 0 ∙ share

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Fast k-Nearest Neighbour Search via Dynamic Continuous Indexing

Existing methods for retrieving k-nearest neighbours suffer from the cur...
12/01/2015 ∙ by Ke Li, et al. ∙ 0 ∙ share

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Bandit Label Inference for Weakly Supervised Learning

The scarcity of data annotated at the desired level of granularity is a ...
09/22/2015 ∙ by Ke Li, et al. ∙ 0 ∙ share

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Learning to Poke by Poking: Experiential Learning of Intuitive Physics

We investigate an experiential learning paradigm for acquiring an intern...
06/23/2016 ∙ by Pulkit Agrawal, et al. ∙ 0 ∙ share

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Iterative Instance Segmentation

Existing methods for pixel-wise labelling tasks generally disregard the ...
11/26/2015 ∙ by Ke Li, et al. ∙ 0 ∙ share

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Recurrent Network Models for Human Dynamics

We propose the Encoder-Recurrent-Decoder (ERD) model for recognition and...
08/02/2015 ∙ by Katerina Fragkiadaki, et al. ∙ 0 ∙ share

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Human Pose Estimation with Iterative Error Feedback

Hierarchical feature extractors such as Convolutional Networks (ConvNets...
07/23/2015 ∙ by Joao Carreira, et al. ∙ 0 ∙ share

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Cross Modal Distillation for Supervision Transfer

In this work we propose a technique that transfers supervision between i...
07/02/2015 ∙ by Saurabh Gupta, et al. ∙ 0 ∙ share

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DeepBox: Learning Objectness with Convolutional Networks

Existing object proposal approaches use primarily bottom-up cues to rank...
05/08/2015 ∙ by Weicheng Kuo, et al. ∙ 0 ∙ share

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Learning to See by Moving

The dominant paradigm for feature learning in computer vision relies on ...
05/07/2015 ∙ by Pulkit Agrawal, et al. ∙ 0 ∙ share

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Contextual Action Recognition with R*CNN

There are multiple cues in an image which reveal what action a person is...
05/05/2015 ∙ by Georgia Gkioxari, et al. ∙ 0 ∙ share

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Pose Induction for Novel Object Categories

We address the task of predicting pose for objects of unannotated object...
05/01/2015 ∙ by Shubham Tulsiani, et al. ∙ 0 ∙ share

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Multiscale Combinatorial Grouping for Image Segmentation and Object Proposal Generation

We propose a unified approach for bottom-up hierarchical image segmentat...
03/03/2015 ∙ by Jordi Pont-Tuset, et al. ∙ 0 ∙ share

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Jitendra Malik

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