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09/21/2023
MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation
Unsupervised domain adaptation (UDA) is an effective approach to handle ...
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09/05/2023
NICE 2023 Zero-shot Image Captioning Challenge
In this report, we introduce NICE project[<https://nice.lgresearch.ai/>]...
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08/18/2023
Long-range Multimodal Pretraining for Movie Understanding
Learning computer vision models from (and for) movies has a long-standin...
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07/03/2023
ACDMSR: Accelerated Conditional Diffusion Models for Single Image Super-Resolution
Diffusion models have gained significant popularity in the field of imag...
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05/01/2023
Attack-SAM: Towards Evaluating Adversarial Robustness of Segment Anything Model
Segment Anything Model (SAM) has attracted significant attention recentl...
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04/10/2023
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
Video Panoptic Segmentation (VPS) aims to achieve comprehensive pixel-le...
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04/04/2023
One Small Step for Generative AI, One Giant Leap for AGI: A Complete Survey on ChatGPT in AIGC Era
OpenAI has recently released GPT-4 (a.k.a. ChatGPT plus), which is demon...
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03/30/2023
Hindi as a Second Language: Improving Visually Grounded Speech with Semantically Similar Samples
The objective of this work is to explore the learning of visually ground...
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03/30/2023
Complementary Random Masking for RGB-Thermal Semantic Segmentation
RGB-thermal semantic segmentation is one potential solution to achieve r...
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03/29/2023
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
Test-time adaptation methods have been gaining attention recently as a p...
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03/23/2023
A Survey on Audio Diffusion Models: Text To Speech Synthesis and Enhancement in Generative AI
Generative AI has demonstrated impressive performance in various fields,...
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03/21/2023
Self-Sufficient Framework for Continuous Sign Language Recognition
The goal of this work is to develop self-sufficient framework for Contin...
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03/21/2023
A Complete Survey on Generative AI (AIGC): Is ChatGPT from GPT-4 to GPT-5 All You Need?
As ChatGPT goes viral, generative AI (AIGC, a.k.a AI-generated content) ...
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03/17/2023
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
Mixup provides interpolated training samples and allows the model to obt...
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03/14/2023
Text-to-image Diffusion Model in Generative AI: A Survey
This survey reviews text-to-image diffusion models in the context that d...
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03/03/2023
EcoTTA: Memory-Efficient Continual Test-time Adaptation via Self-distilled Regularization
This paper presents a simple yet effective approach that improves contin...
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01/26/2023
Semi-Supervised Image Captioning by Adversarially Propagating Labeled Data
We present a novel data-efficient semi-supervised framework to improve t...
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01/02/2023
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
Driven by improved architectures and better representation learning fram...
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12/20/2022
Tracking by Associating Clips
The tracking-by-detection paradigm today has become the dominant method ...
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12/20/2022
Bridging Images and Videos: A Simple Learning Framework for Large Vocabulary Video Object Detection
Scaling object taxonomies is one of the important steps toward a robust ...
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12/16/2022
CD-TTA: Compound Domain Test-time Adaptation for Semantic Segmentation
Test-time adaptation (TTA) has attracted significant attention due to it...
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12/16/2022
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
Universal Domain Adaptation aims to transfer the knowledge between the d...
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11/21/2022
MATE: Masked Autoencoders are Online 3D Test-Time Learners
We propose MATE, the first Test-Time-Training (TTT) method designed for ...
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11/01/2022
Signing Outside the Studio: Benchmarking Background Robustness for Continuous Sign Language Recognition
The goal of this work is background-robust continuous sign language reco...
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10/21/2022
Neural Fields for Robotic Object Manipulation from a Single Image
We present a unified and compact representation for object rendering, 3D...
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09/13/2022
Moving from 2D to 3D: volumetric medical image classification for rectal cancer staging
Volumetric images from Magnetic Resonance Imaging (MRI) provide invaluab...
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08/03/2022
Per-Clip Video Object Segmentation
Recently, memory-based approaches show promising results on semi-supervi...
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08/01/2022
Generative Bias for Visual Question Answering
The task of Visual Question Answering (VQA) is known to be plagued by th...
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07/30/2022
A Survey on Masked Autoencoder for Self-supervised Learning in Vision and Beyond
Masked autoencoders are scalable vision learners, as the title of MAE <c...
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07/22/2022
Decoupled Adversarial Contrastive Learning for Self-supervised Adversarial Robustness
Adversarial training (AT) for robust representation learning and self-su...
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07/20/2022
The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing
Machine learning is transforming the video editing industry. Recent adva...
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07/19/2022
ML-BPM: Multi-teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation
Open compound domain adaptation (OCDA) considers the target domain as th...
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07/07/2022
DRL-ISP: Multi-Objective Camera ISP with Deep Reinforcement Learning
In this paper, we propose a multi-objective camera ISP framework that ut...
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06/01/2022
Labeling Where Adapting Fails: Cross-Domain Semantic Segmentation with Point Supervision via Active Selection
Training models dedicated to semantic segmentation requires a large amou...
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05/30/2022
TubeFormer-DeepLab: Video Mask Transformer
We present TubeFormer-DeepLab, the first attempt to tackle multiple core...
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03/30/2022
Investigating Top-k White-Box and Transferable Black-box Attack
Existing works have identified the limitation of top-1 attack success ra...
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03/30/2022
Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo
Contrastive learning (CL) is widely known to require many negative sampl...
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03/30/2022
How Does SimSiam Avoid Collapse Without Negative Samples? A Unified Understanding with Self-supervised Contrastive Learning
To avoid collapse in self-supervised learning (SSL), a contrastive loss ...
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03/29/2022
Long-term Video Frame Interpolation via Feature Propagation
Video frame interpolation (VFI) works generally predict intermediate fra...
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02/12/2022
Audio-Visual Fusion Layers for Event Type Aware Video Recognition
Human brain is continuously inundated with the multisensory information ...
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02/11/2022
Noise Augmentation Is All You Need For FGSM Fast Adversarial Training: Catastrophic Overfitting And Robust Overfitting Require Different Augmentation
Adversarial training (AT) and its variants are the most effective approa...
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02/07/2022
Learning Sound Localization Better From Semantically Similar Samples
The objective of this work is to localize the sound sources in visual sc...
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01/12/2022
Maximizing Self-supervision from Thermal Image for Effective Self-supervised Learning of Depth and Ego-motion
Recently, self-supervised learning of depth and ego-motion from thermal ...
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11/25/2021
Facial Depth and Normal Estimation using Single Dual-Pixel Camera
Many mobile manufacturers recently have adopted Dual-Pixel (DP) sensors ...
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11/24/2021
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation
Learning to estimate object pose often requires ground-truth (GT) labels...
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11/23/2021
Deep Point Cloud Reconstruction
Point cloud obtained from 3D scanning is often sparse, noisy, and irregu...
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11/22/2021
PointMixer: MLP-Mixer for Point Cloud Understanding
MLP-Mixer has newly appeared as a new challenger against the realm of CN...
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11/10/2021
Self-Supervised Real-time Video Stabilization
Videos are a popular media form, where online video streaming has recent...
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10/21/2021
Single-Modal Entropy based Active Learning for Visual Question Answering
Constructing a large-scale labeled dataset in the real world, especially...
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10/13/2021
