b'Derek Hoiem'

research

∙ 07/04/2023

Continual Learning in Open-vocabulary Classification with Complementary Memory Systems

We introduce a method for flexible continual learning in open-vocabulary...

0 Zhen Zhu, et al. ∙

research

∙ 07/04/2023

Consistent Multimodal Generation via A Unified GAN Framework

We investigate how to generate multimodal image outputs, such as RGB, de...

0 Zhen Zhu, et al. ∙

research

∙ 06/01/2023

StyleGAN knows Normal, Depth, Albedo, and More

Intrinsic images, in the original sense, are image-like maps of scene pr...

0 Anand Bhattad, et al. ∙

research

∙ 12/02/2022

Sparse SPN: Depth Completion from Sparse Keypoints

Our long term goal is to use image-based depth completion to quickly cre...

0 Yuqun Wu, et al. ∙

research

∙ 12/02/2022

QFF: Quantized Fourier Features for Neural Field Representations

Multilayer perceptrons (MLPs) learn high frequencies slowly. Recent appr...

0 Jae Yong Lee, et al. ∙

research

∙ 10/14/2022

Deep PatchMatch MVS with Learned Patch Coplanarity, Geometric Consistency and Adaptive Pixel Sampling

Recent work in multi-view stereo (MVS) combines learnable photometric sc...

0 Jae Yong Lee, et al. ∙

research

∙ 05/22/2022

Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners

The goal of this work is to build flexible video-language models that ca...

11 Zhenhailong Wang, et al. ∙

research

∙ 04/28/2022

GRIT: General Robust Image Task Benchmark

Computer vision models excel at making predictions when the test distrib...

0 Tanmay Gupta, et al. ∙

research

∙ 02/04/2022

Webly Supervised Concept Expansion for General Purpose Vision Models

General purpose vision (GPV) systems are models that are designed to sol...

0 Amita Kamath, et al. ∙

research

∙ 08/19/2021

PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility

Recent learning-based multi-view stereo (MVS) methods show excellent per...

8 Jae Yong Lee, et al. ∙

research

∙ 04/01/2021

Towards General Purpose Vision Systems

A special purpose learning system assumes knowledge of admissible tasks ...

0 Tanmay Gupta, et al. ∙

research

∙ 10/21/2020

Learning Curves for Analysis of Deep Networks

A learning curve models a classifier's test error as a function of the n...

0 Derek Hoiem, et al. ∙

research

∙ 06/17/2020

Contrastive Learning for Weakly Supervised Phrase Grounding

Phrase grounding, the problem of associating image regions to caption wo...

4 Tanmay Gupta, et al. ∙

research

∙ 12/24/2019

Boundary Cues for 3D Object Shape Recovery

Early work in computer vision considered a host of geometric cues for bo...

8 Kevin Karsch, et al. ∙

research

∙ 12/24/2019

Rendering Synthetic Objects into Legacy Photographs

We propose a method to realistically insert synthetic objects into exist...

0 Kevin Karsch, et al. ∙

research

∙ 12/18/2019

Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion

We introduce DeepInversion, a new method for synthesizing images from th...

27 Hongxu Yin, et al. ∙

research

∙ 10/09/2019

3D Manhattan Room Layout Reconstruction from a Single 360 Image

Recent approaches for predicting layouts from 360 panoramas produce exce...

11 Chuhang Zou, et al. ∙

research

∙ 08/22/2019

ViCo: Word Embeddings from Visual Co-occurrences

We propose to learn word embeddings from visual co-occurrences. Two word...

0 Tanmay Gupta, et al. ∙

research

∙ 08/16/2019

Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation

We introduce a novel domain adaptation formulation from synthetic datase...

0 Zhizhong Li, et al. ∙

research

∙ 07/29/2019

Silhouette Guided Point Cloud Reconstruction beyond Occlusion

One major challenge in 3D reconstruction is to infer the complete shape ...

3 Chuhang Zou, et al. ∙

research

∙ 11/14/2018

No-Frills Human-Object Interaction Detection: Factorization, Appearance and Layout Encodings, and Training Techniques

We show that with an appropriate factorization, and encodings of layout ...

6 Tanmay Gupta, et al. ∙

research

∙ 04/17/2018

Pixels, voxels, and views: A study of shape representations for single view 3D object shape prediction

The goal of this paper is to compare surface-based and volumetric 3D obj...

0 Daeyun Shin, et al. ∙

research

∙ 04/10/2018

Imagine This! Scripts to Compositions to Videos

Imagining a scene described in natural language with realistic layout an...

2 Tanmay Gupta, et al. ∙

research

∙ 04/09/2018

G-Distillation: Reducing Overconfident Errors on Novel Samples

Counter to the intuition that unfamiliarity should lead to lack of confi...

0 Zhizhong Li, et al. ∙

research

∙ 03/23/2018

LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image

We propose an algorithm to predict room layout from a single image that ...

0 Chuhang Zou, et al. ∙

research

∙ 10/25/2017

Complete 3D Scene Parsing from Single RGBD Image

Inferring the location, shape, and class of each object in a single imag...

0 Chuhang Zou, et al. ∙

research

∙ 08/09/2017

ChromaTag: A Colored Marker and Fast Detection Algorithm

Current fiducial marker detection algorithms rely on marker IDs for fals...

0 Joseph DeGol, et al. ∙

research

∙ 08/04/2017

3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks

The success of various applications including robotics, digital content ...

0 Chuhang Zou, et al. ∙

research

∙ 04/02/2017

Aligned Image-Word Representations Improve Inductive Transfer Across Vision-Language Tasks

An important goal of computer vision is to build systems that learn visu...

0 Tanmay Gupta, et al. ∙

research

∙ 06/29/2016

Learning without Forgetting

When building a unified vision system or gradually adding new capabiliti...

0 Zhizhong Li, et al. ∙

research

∙ 06/15/2016

3DFS: Deformable Dense Depth Fusion and Segmentation for Object Reconstruction from a Handheld Camera

We propose an approach for 3D reconstruction and segmentation of a singl...

0 Tanmay Gupta, et al. ∙

research

∙ 05/20/2016

Swapout: Learning an ensemble of deep architectures

We describe Swapout, a new stochastic training method, that outperforms ...

0 Saurabh Singh, et al. ∙

research

∙ 07/22/2015

Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization

We present a simple deep learning framework to simultaneously predict ke...

0 Kevin J. Shih, et al. ∙

research

∙ 04/09/2015

Predicting Complete 3D Models of Indoor Scenes

One major goal of vision is to infer physical models of objects, surface...

0 Ruiqi Guo, et al. ∙

Derek Hoiem

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