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09/12/2023
Prompting4Debugging: Red-Teaming Text-to-Image Diffusion Models by Finding Problematic Prompts
Text-to-image diffusion models, e.g. Stable Diffusion (SD), lately have ...
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05/18/2023
Transformer-based Variable-rate Image Compression with Region-of-interest Control
This paper proposes a transformer-based learned image compression system...
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03/06/2023
Multimodal Prompting with Missing Modalities for Visual Recognition
In this paper, we tackle two challenges in multimodal learning for visua...
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11/10/2022
Mitigating Forgetting in Online Continual Learning via Contrasting Semantically Distinct Augmentations
Online continual learning (OCL) aims to enable model learning from a non...
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09/19/2022
3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling
For monocular depth estimation, acquiring ground truths for real data is...
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09/07/2022
BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation
Due to the rise of spherical cameras, monocular 360 depth estimation bec...
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08/26/2022
Adaptively-Realistic Image Generation from Stroke and Sketch with Diffusion Model
Generating images from hand-drawings is a crucial and fundamental task i...
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07/27/2022
Vector Quantized Image-to-Image Translation
Current image-to-image translation methods formulate the task with condi...
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01/09/2022
Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement
Self-supervised learning on point clouds has gained a lot of attention r...
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11/28/2021
Make an Omelette with Breaking Eggs: Zero-Shot Learning for Novel Attribute Synthesis
Most of the existing algorithms for zero-shot classification problems ty...
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10/03/2021
An Unsupervised Video Game Playstyle Metric via State Discretization
On playing video games, different players usually have their own playsty...
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08/11/2021
Towards Interpretable Deep Networks for Monocular Depth Estimation
Deep networks for Monocular Depth Estimation (MDE) have achieved promisi...
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08/07/2021
Learning Facial Representations from the Cycle-consistency of Face
Faces manifest large variations in many aspects, such as identity, expre...
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06/29/2021
MAML is a Noisy Contrastive Learner
Model-agnostic meta-learning (MAML) is one of the most popular and widel...
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05/29/2021
RPG: Learning Recursive Point Cloud Generation
In this paper we propose a novel point cloud generator that is able to r...
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05/27/2021
Stylizing 3D Scene via Implicit Representation and HyperNetwork
In this work, we aim to address the 3D scene stylization problem - gener...
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04/22/2021
Robust 360-8PA: Redesigning The Normalized 8-point Algorithm for 360-FoV Images
This paper presents a novel preconditioning strategy for the classic 8-p...
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04/01/2021
LED2-Net: Monocular 360 Layout Estimation via Differentiable Depth Rendering
Although significant progress has been made in room layout estimation, m...
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03/28/2021
Bridging the Visual Gap: Wide-Range Image Blending
In this paper we propose a new problem scenario in image processing, wid...
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02/25/2021
Domain Adaptation for Learning Generator from Paired Few-Shot Data
We propose a Paired Few-shot GAN (PFS-GAN) model for learning generators...
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12/28/2020
Spectral Analysis for Semantic Segmentation with Applications on Feature Truncation and Weak Annotation
The current neural networks for semantic segmentation usually predict th...
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12/15/2020
Class-incremental Learning with Rectified Feature-Graph Preservation
In this paper, we address the problem of distillation-based class-increm...
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07/07/2020
Benefiting Deep Latent Variable Models via Learning the Prior and Removing Latent Regularization
There exist many forms of deep latent variable models, such as the varia...
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04/12/2020
Variational Autoencoders with Normalizing Flow Decoders
Recently proposed normalizing flow models such as Glow have been shown t...
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03/30/2020
LayoutMP3D: Layout Annotation of Matterport3D
Inferring the information of 3D layout from a single equirectangular pan...
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11/11/2019
360SD-Net: 360° Stereo Depth Estimation with Learnable Cost Volume
Recently, end-to-end trainable deep neural networks have significantly i...
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05/22/2019
Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
Stereo matching and flow estimation are two essential tasks for scene un...
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04/05/2019
3D LiDAR and Stereo Fusion using Stereo Matching Network with Conditional Cost Volume Normalization
The complementary characteristics of active and passive depth sensing te...
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03/26/2019
All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation
In this paper we tackle the problem of unsupervised domain adaptation fo...
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12/10/2018
Self-Contained Stylization via Steganography for Reverse and Serial Style Transfer
Style transfer has been widely applied to give real-world images a new a...
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11/24/2017
For Your Eyes Only: Learning to Summarize First-Person Videos
With the increasing amount of video data, it is desirable to highlight o...
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05/03/2017
Detach and Adapt: Learning Cross-Domain Disentangled Deep Representation
While representation learning aims to derive interpretable features for ...
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09/03/2016
Towards Segmenting Consumer Stereo Videos: Benchmark, Baselines and Ensembles
Are we ready to segment consumer stereo videos? The amount of this data ...
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04/08/2016
STD2P: RGBD Semantic Segmentation Using Spatio-Temporal Data-Driven Pooling
We propose a novel superpixel-based multi-view convolutional neural netw...
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05/04/2015