Jianming Zhang

research

∙ 05/29/2023

Photoswap: Personalized Subject Swapping in Images

In an era where images and visual content dominate our digital landscape...

0 Jing Gu, et al. ∙

research

∙ 03/22/2023

LightPainter: Interactive Portrait Relighting with Freehand Scribble

Recent portrait relighting methods have achieved realistic results of po...

0 Yiqun Mei, et al. ∙

research

∙ 03/10/2023

3D Cinemagraphy from a Single Image

We present 3D Cinemagraphy, a new technique that marries 2D image animat...

0 Xingyi Li, et al. ∙

research

∙ 02/28/2023

PixHt-Lab: Pixel Height Based Light Effect Generation for Image Compositing

Lighting effects such as shadows or reflections are key in making synthe...

0 Yichen Sheng, et al. ∙

research

∙ 12/13/2022

Structure-Guided Image Completion with Image-level and Object-level Semantic Discriminators

Structure-guided image completion aims to inpaint a local region of an i...

0 Haitian Zheng, et al. ∙

research

∙ 12/06/2022

Perspective Fields for Single Image Camera Calibration

Geometric camera calibration is often required for applications that und...

0 Linyi Jin, et al. ∙

research

∙ 12/02/2022

ObjectStitch: Generative Object Compositing

Object compositing based on 2D images is a challenging problem since it ...

0 Yizhi Song, et al. ∙

research

∙ 09/14/2022

Distributed Multi-Robot Obstacle Avoidance via Logarithmic Map-based Deep Reinforcement Learning

Developing a safe, stable, and efficient obstacle avoidance policy in cr...

0 Jiafeng Ma, et al. ∙

research

∙ 07/31/2022

Less is More: Consistent Video Depth Estimation with Masked Frames Modeling

Temporal consistency is the key challenge of video depth estimation. Pre...

1 Yiran Wang, et al. ∙

research

∙ 07/29/2022

Towards Domain-agnostic Depth Completion

Existing depth completion methods are often targeted at a specific spars...

0 Wei Yin, et al. ∙

research

∙ 07/18/2022

MPIB: An MPI-Based Bokeh Rendering Framework for Realistic Partial Occlusion Effects

Partial occlusion effects are a phenomenon that blurry objects near a ca...

1 Juewen Peng, et al. ∙

research

∙ 07/12/2022

Dynamic Gradient Reactivation for Backward Compatible Person Re-identification

We study the backward compatible problem for person re-identification (R...

2 Xiao Pan, et al. ∙

research

∙ 06/25/2022

BokehMe: When Neural Rendering Meets Classical Rendering

We propose BokehMe, a hybrid bokeh rendering framework that marries a ne...

11 Juewen Peng, et al. ∙

research

∙ 03/22/2022

CM-GAN: Image Inpainting with Cascaded Modulation GAN and Object-Aware Training

Recent image inpainting methods have made great progress but often strug...

0 Haitian Zheng, et al. ∙

research

∙ 12/20/2021

Lite Vision Transformer with Enhanced Self-Attention

Despite the impressive representation capacity of vision transformer mod...

0 Chenglin Yang, et al. ∙

research

∙ 08/15/2021

SSH: A Self-Supervised Framework for Image Harmonization

Image harmonization aims to improve the quality of image compositing by ...

0 Yifan Jiang, et al. ∙

research

∙ 07/15/2021

Single-image Full-body Human Relighting

We present a single-image data-driven method to automatically relight im...

12 Manuel Lagunas, et al. ∙

research

∙ 12/17/2020

Learning to Recover 3D Scene Shape from a Single Image

Despite significant progress in monocular depth estimation in the wild, ...

0 Wei Yin, et al. ∙

research

∙ 12/14/2020

Semantic Layout Manipulation with High-Resolution Sparse Attention

We tackle the problem of semantic image layout manipulation, which aims ...

0 Haitian Zheng, et al. ∙

research

∙ 12/13/2020

Meticulous Object Segmentation

Compared with common image segmentation tasks targeted at low-resolution...

0 Chenglin Yang, et al. ∙

research

∙ 12/12/2020

Mask Guided Matting via Progressive Refinement Network

We propose Mask Guided (MG) Matting, a robust matting framework that tak...

0 Qihang Yu, et al. ∙

research

∙ 11/04/2020

Deep Image Compositing

Image compositing is a task of combining regions from different images t...

0 He Zhang, et al. ∙

research

∙ 09/11/2020

Attribute-conditioned Layout GAN for Automatic Graphic Design

Modeling layout is an important first step for graphic design. Recently,...

10 Jianan Li, et al. ∙

research

∙ 08/13/2020

Adversarial Knowledge Transfer from Unlabeled Data

While machine learning approaches to visual recognition offer great prom...

10 Akash Gupta, et al. ∙

research

∙ 08/04/2020

Open-Edit: Open-Domain Image Manipulation with Open-Vocabulary Instructions

We propose a novel algorithm, named Open-Edit, which is the first attemp...

13 Xihui Liu, et al. ∙

research

∙ 08/03/2020

Shape Adaptor: A Learnable Resizing Module

We present a novel resizing module for neural networks: shape adaptor, a...

12 Shikun Liu, et al. ∙

research

∙ 07/16/2020

SSN: Soft Shadow Network for Image Compositing

In image compositing tasks, objects from different sources are put toget...

0 Yichen Sheng, et al. ∙

research

∙ 05/24/2020

High-Resolution Image Inpainting with Iterative Confidence Feedback and Guided Upsampling

Existing image inpainting methods often produce artifacts when dealing w...

2 Yu Zeng, et al. ∙

research

∙ 03/13/2020

Explainable Deep Classification Models for Domain Generalization

Conventionally, AI models are thought to trade off explainability for lo...

21 Andrea Zunino, et al. ∙

research

∙ 11/28/2019

LeRoP: A Learning-Based Modular Robot Photography Framework

We introduce a novel framework for automatic capturing of human portrait...

0 Hao Kang, et al. ∙

research

∙ 09/15/2019

Scaling Object Detection by Transferring Classification Weights

Large scale object detection datasets are constantly increasing their si...

19 Jason Kuen, et al. ∙

research

∙ 08/20/2019

Towards High-Resolution Salient Object Detection

Deep neural network based methods have made a significant breakthrough i...

17 Yi Zeng, et al. ∙

research

∙ 06/05/2019

Multi-way Encoding for Robustness

Deep models are state-of-the-art for many computer vision tasks includin...

1 Donghyun Kim, et al. ∙

research

∙ 04/03/2019

M2KD: Multi-model and Multi-level Knowledge Distillation for Incremental Learning

Incremental learning targets at achieving good performance on new catego...

0 Peng Zhou, et al. ∙

research

∙ 01/21/2019

LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators

Layout is important for graphic design and scene generation. We propose ...

0 Jianan Li, et al. ∙

research

∙ 12/06/2018

Guided Zoom: Questioning Network Evidence for Fine-grained Classification

We propose Guided Zoom, an approach that utilizes spatial grounding to m...

5 Sarah Adel Bargal, et al. ∙

research

∙ 12/02/2018

Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization

In this paper, we study the problem of improving computational resource ...

0 Siyuan Qiao, et al. ∙

research

∙ 10/18/2018

DeepLens: Shallow Depth Of Field From A Single Image

We aim to generate high resolution shallow depth-of-field (DoF) images f...

0 Lijun Wang, et al. ∙

research

∙ 09/21/2018

GAPLE: Generalizable Approaching Policy LEarning for Robotic Object Searching in Indoor Environment

We study the problem of learning a generalizable action policy for an in...

0 Xin Ye, et al. ∙

research

∙ 08/18/2018

Concept Mask: Large-Scale Segmentation from Semantic Concepts

Existing works on semantic segmentation typically consider a small numbe...

4 Yufei Wang, et al. ∙

research

∙ 08/07/2018

Contemplating Visual Emotions: Understanding and Overcoming Dataset Bias

While machine learning approaches to visual emotion recognition offer gr...

4 Rameswar Panda, et al. ∙

research

∙ 05/23/2018

Excitation Dropout: Encouraging Plasticity in Deep Neural Networks

We propose a guided dropout regularizer for deep networks based on the e...

8 Andrea Zunino, et al. ∙

research

∙ 11/18/2017

Excitation Backprop for RNNs

Deep models are state-of-the-art for many vision tasks including video a...

0 Sarah Adel Bargal, et al. ∙

research

∙ 12/21/2016

Top-down Visual Saliency Guided by Captions

Neural image/video captioning models can generate accurate descriptions,...

0 Vasili Ramanishka, et al. ∙

research

∙ 08/01/2016

Top-down Neural Attention by Excitation Backprop

We aim to model the top-down attention of a Convolutional Neural Network...

0 Jianming Zhang, et al. ∙

research

∙ 07/26/2016

Salient Object Subitizing

We study the problem of Salient Object Subitizing, i.e. predicting the e...

0 Jianming Zhang, et al. ∙

research

∙ 12/22/2015

Do Less and Achieve More: Training CNNs for Action Recognition Utilizing Action Images from the Web

Recently, attempts have been made to collect millions of videos to train...

0 Shugao Ma, et al. ∙

Jianming Zhang

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