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07/04/2023
Continual Learning in Open-vocabulary Classification with Complementary Memory Systems
We introduce a method for flexible continual learning in open-vocabulary...
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07/04/2023
Consistent Multimodal Generation via A Unified GAN Framework
We investigate how to generate multimodal image outputs, such as RGB, de...
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06/01/2023
StyleGAN knows Normal, Depth, Albedo, and More
Intrinsic images, in the original sense, are image-like maps of scene pr...
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12/02/2022
Sparse SPN: Depth Completion from Sparse Keypoints
Our long term goal is to use image-based depth completion to quickly cre...
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12/02/2022
QFF: Quantized Fourier Features for Neural Field Representations
Multilayer perceptrons (MLPs) learn high frequencies slowly. Recent appr...
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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...
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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...
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04/28/2022
GRIT: General Robust Image Task Benchmark
Computer vision models excel at making predictions when the test distrib...
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02/04/2022
Webly Supervised Concept Expansion for General Purpose Vision Models
General purpose vision (GPV) systems are models that are designed to sol...
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08/19/2021
PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility
Recent learning-based multi-view stereo (MVS) methods show excellent per...
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04/01/2021
Towards General Purpose Vision Systems
A special purpose learning system assumes knowledge of admissible tasks ...
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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...
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06/17/2020
Contrastive Learning for Weakly Supervised Phrase Grounding
Phrase grounding, the problem of associating image regions to caption wo...
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12/24/2019
Boundary Cues for 3D Object Shape Recovery
Early work in computer vision considered a host of geometric cues for bo...
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12/24/2019
Rendering Synthetic Objects into Legacy Photographs
We propose a method to realistically insert synthetic objects into exist...
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12/18/2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
We introduce DeepInversion, a new method for synthesizing images from th...
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10/09/2019
3D Manhattan Room Layout Reconstruction from a Single 360 Image
Recent approaches for predicting layouts from 360 panoramas produce exce...
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08/22/2019
ViCo: Word Embeddings from Visual Co-occurrences
We propose to learn word embeddings from visual co-occurrences. Two word...
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08/16/2019
Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation
We introduce a novel domain adaptation formulation from synthetic datase...
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07/29/2019
Silhouette Guided Point Cloud Reconstruction beyond Occlusion
One major challenge in 3D reconstruction is to infer the complete shape ...
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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 ...
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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...
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04/10/2018
Imagine This! Scripts to Compositions to Videos
Imagining a scene described in natural language with realistic layout an...
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04/09/2018
G-Distillation: Reducing Overconfident Errors on Novel Samples
Counter to the intuition that unfamiliarity should lead to lack of confi...
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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 ...
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10/25/2017
Complete 3D Scene Parsing from Single RGBD Image
Inferring the location, shape, and class of each object in a single imag...
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08/09/2017
ChromaTag: A Colored Marker and Fast Detection Algorithm
Current fiducial marker detection algorithms rely on marker IDs for fals...
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08/04/2017
3D-PRNN: Generating Shape Primitives with Recurrent Neural Networks
The success of various applications including robotics, digital content ...
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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...
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06/29/2016
Learning without Forgetting
When building a unified vision system or gradually adding new capabiliti...
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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...
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05/20/2016
Swapout: Learning an ensemble of deep architectures
We describe Swapout, a new stochastic training method, that outperforms ...
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07/22/2015
Part Localization using Multi-Proposal Consensus for Fine-Grained Categorization
We present a simple deep learning framework to simultaneously predict ke...
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04/09/2015