b'Varun Jampani'

research

∙ 05/28/2023

KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models

Image ad understanding is a crucial task with wide real-world applicatio...

0 Zhiwei Jia, et al. ∙

research

∙ 05/24/2023

LayoutGPT: Compositional Visual Planning and Generation with Large Language Models

Attaining a high degree of user controllability in visual generation oft...

6 Weixi Feng, et al. ∙

research

∙ 05/18/2023

Discriminative Diffusion Models as Few-shot Vision and Language Learners

Diffusion models, such as Stable Diffusion, have shown incredible perfor...

0 Xuehai He, et al. ∙

research

∙ 04/13/2023

ShapeClipper: Scalable 3D Shape Learning from Single-View Images via Geometric and CLIP-based Consistency

We present ShapeClipper, a novel method that reconstructs 3D object shap...

5 Zixuan Huang, et al. ∙

research

∙ 04/12/2023

NoisyTwins: Class-Consistent and Diverse Image Generation through StyleGANs

StyleGANs are at the forefront of controllable image generation as they ...

0 Harsh Rangwani, et al. ∙

research

∙ 03/28/2023

ASIC: Aligning Sparse in-the-wild Image Collections

We present a method for joint alignment of sparse in-the-wild image coll...

0 Kamal Gupta, et al. ∙

research

∙ 03/23/2023

DreamBooth3D: Subject-Driven Text-to-3D Generation

We present DreamBooth3D, an approach to personalize text-to-3D generativ...

0 Amit Raj, et al. ∙

research

∙ 03/16/2023

LOCATE: Localize and Transfer Object Parts for Weakly Supervised Affordance Grounding

Humans excel at acquiring knowledge through observation. For example, we...

0 Gen Li, et al. ∙

research

∙ 02/09/2023

Polynomial Neural Fields for Subband Decomposition and Manipulation

Neural fields have emerged as a new paradigm for representing signals, t...

3 Guandao Yang, et al. ∙

research

∙ 01/31/2023

Debiasing Vision-Language Models via Biased Prompts

Machine learning models have been shown to inherit biases from their tra...

0 Ching-Yao Chuang, et al. ∙

research

∙ 12/19/2022

MetaCLUE: Towards Comprehensive Visual Metaphors Research

Creativity is an indispensable part of human cognition and also an inher...

0 Arjun R Akula, et al. ∙

research

∙ 12/09/2022

Training-Free Structured Diffusion Guidance for Compositional Text-to-Image Synthesis

Large-scale diffusion models have achieved state-of-the-art results on t...

0 Weixi Feng, et al. ∙

research

∙ 10/28/2022

Subsidiary Prototype Alignment for Universal Domain Adaptation

Universal Domain Adaptation (UniDA) deals with the problem of knowledge ...

0 Jogendra Nath Kundu, et al. ∙

research

∙ 10/19/2022

CPL: Counterfactual Prompt Learning for Vision and Language Models

Prompt tuning is a new few-shot transfer learning technique that only tu...

0 Xuehai He, et al. ∙

research

∙ 08/25/2022

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

Large text-to-image models achieved a remarkable leap in the evolution o...

0 Nataniel Ruiz, et al. ∙

research

∙ 08/21/2022

Improving GANs for Long-Tailed Data through Group Spectral Regularization

Deep long-tailed learning aims to train useful deep networks on practica...

5 Harsh Rangwani, et al. ∙

research

∙ 08/07/2022

Hierarchical Semantic Regularization of Latent Spaces in StyleGANs

Progress in GANs has enabled the generation of high-resolution photoreal...

8 Tejan Karmali, et al. ∙

research

∙ 07/27/2022

Concurrent Subsidiary Supervision for Unsupervised Source-Free Domain Adaptation

The prime challenge in unsupervised domain adaptation (DA) is to mitigat...

0 Jogendra Nath Kundu, et al. ∙

research

∙ 06/16/2022

Balancing Discriminability and Transferability for Source-Free Domain Adaptation

Conventional domain adaptation (DA) techniques aim to improve domain tra...

3 Jogendra Nath Kundu, et al. ∙

research

∙ 05/31/2022

SAMURAI: Shape And Material from Unconstrained Real-world Arbitrary Image collections

Inverse rendering of an object under entirely unknown capture conditions...

10 Mark Boss, et al. ∙

research

∙ 04/21/2022

Planes vs. Chairs: Category-guided 3D shape learning without any 3D cues

We present a novel 3D shape reconstruction method which learns to predic...

10 Zixuan Huang, et al. ∙

research

∙ 04/06/2022

LEAD: Self-Supervised Landmark Estimation by Aligning Distributions of Feature Similarity

In this work, we introduce LEAD, an approach to discover landmarks from ...

3 Tejan Karmali, et al. ∙

research

∙ 04/05/2022

Non-Local Latent Relation Distillation for Self-Adaptive 3D Human Pose Estimation

Available 3D human pose estimation approaches leverage different forms o...

0 Jogendra Nath Kundu, et al. ∙

research

∙ 04/04/2022

Aligning Silhouette Topology for Self-Adaptive 3D Human Pose Recovery

Articulation-centric 2D/3D pose supervision forms the core training obje...

0 Mugalodi Rakesh, et al. ∙

research

∙ 03/29/2022

Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation

The advances in monocular 3D human pose estimation are dominated by supe...

0 Jogendra Nath Kundu, et al. ∙

research

∙ 02/09/2022

Amplitude Spectrum Transformation for Open Compound Domain Adaptive Semantic Segmentation

Open compound domain adaptation (OCDA) has emerged as a practical adapta...

0 Jogendra Nath Kundu, et al. ∙

research

∙ 10/27/2021

Neural-PIL: Neural Pre-Integrated Lighting for Reflectance Decomposition

Decomposing a scene into its shape, reflectance and illumination is a fu...

0 Mark Boss, et al. ∙

research

∙ 09/02/2021

SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting

Single image 3D photography enables viewers to view a still image from n...

2 Varun Jampani, et al. ∙

research

∙ 08/25/2021

Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation

Unsupervised domain adaptation (DA) has gained substantial interest in s...

15 Jogendra Nath Kundu, et al. ∙

research

∙ 06/10/2021

Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold

Single image pose estimation is a fundamental problem in many vision and...

0 Kieran Murphy, et al. ∙

research

∙ 05/06/2021

LASR: Learning Articulated Shape Reconstruction from a Monocular Video

Remarkable progress has been made in 3D reconstruction of rigid structur...

2 Gengshan Yang, et al. ∙

research

∙ 04/29/2021

AutoFlow: Learning a Better Training Set for Optical Flow

Synthetic datasets play a critical role in pre-training CNN models for o...

10 Deqing Sun, et al. ∙

research

∙ 04/05/2021

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation

Prototype learning is extensively used for few-shot segmentation. Typica...

0 Gen Li, et al. ∙

research

∙ 03/04/2021

There and back again: Cycle consistency across sets for isolating factors of variation

Representational learning hinges on the task of unraveling the set of un...

0 Kieran A. Murphy, et al. ∙

research

∙ 12/17/2020

Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image

We introduce the problem of perpetual view generation – long-range gener...

0 Andrew Liu, et al. ∙

research

∙ 12/07/2020

NeRD: Neural Reflectance Decomposition from Image Collections

Decomposing a scene into its shape, reflectance, and illumination is a c...

0 Mark Boss, et al. ∙

research

∙ 08/25/2020

Improving Deep Stereo Network Generalization with Geometric Priors

End-to-end deep learning methods have advanced stereo vision in recent y...

8 Jialiang Wang, et al. ∙

research

∙ 08/20/2020

Generative View Synthesis: From Single-view Semantics to Novel-view Images

Content creation, central to applications such as virtual reality, can b...

6 Tewodros Habtegebrial, et al. ∙

research

∙ 08/20/2020

DeepGMR: Learning Latent Gaussian Mixture Models for Registration

Point cloud registration is a fundamental problem in 3D computer vision,...

49 Wentao Yuan, et al. ∙

research

∙ 08/04/2020

Appearance Consensus Driven Self-Supervised Human Mesh Recovery

We present a self-supervised human mesh recovery framework to infer huma...

0 Jogendra Nath Kundu, et al. ∙

research

∙ 06/29/2020

Intrinsic Autoencoders for Joint Neural Rendering and Intrinsic Image Decomposition

Neural rendering techniques promise efficient photo-realistic image synt...

10 Hassan Abu Alhaija, et al. ∙

research

∙ 05/05/2020

From Image Collections to Point Clouds with Self-supervised Shape and Pose Networks

Reconstructing 3D models from 2D images is one of the fundamental proble...

18 K L Navaneet, et al. ∙

research

∙ 04/09/2020

Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis

Camera captured human pose is an outcome of several sources of variation...

0 Jogendra Nath Kundu, et al. ∙

research

∙ 04/03/2020

Self-Supervised Viewpoint Learning From Image Collections

Training deep neural networks to estimate the viewpoint of objects requi...

36 Siva Karthik Mustikovela, et al. ∙

research

∙ 04/01/2020

Two-shot Spatially-varying BRDF and Shape Estimation

Capturing the shape and spatially-varying appearance (SVBRDF) of an obje...

10 Mark Boss, et al. ∙

research

∙ 03/13/2020

Self-supervised Single-view 3D Reconstruction via Semantic Consistency

We learn a self-supervised, single-view 3D reconstruction model that pre...

10 Xueting Li, et al. ∙

research

∙ 10/27/2019

SENSE: a Shared Encoder Network for Scene-flow Estimation

We introduce a compact network for holistic scene flow estimation, calle...

17 Huaizu Jiang, et al. ∙

research

∙ 09/25/2019

Learning Propagation for Arbitrarily-structured Data

Processing an input signal that contains arbitrary structures, e.g., sup...

1 Sifei Liu, et al. ∙

research

∙ 07/12/2019

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation

Current state-of-the-art methods for image segmentation form a dense ima...

14 Towaki Takikawa, et al. ∙

research

∙ 05/03/2019

SCOPS: Self-Supervised Co-Part Segmentation

Parts provide a good intermediate representation of objects that is robu...

18 Wei-Chih Hung, et al. ∙

Varun Jampani

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