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08/18/2023
SimDA: Simple Diffusion Adapter for Efficient Video Generation
The recent wave of AI-generated content has witnessed the great developm...
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08/14/2023
On the Importance of Spatial Relations for Few-shot Action Recognition
Deep learning has achieved great success in video recognition, yet still...
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06/06/2023
Prompting Large Language Models to Reformulate Queries for Moment Localization
The task of moment localization is to localize a temporal moment in an u...
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05/22/2023
BMB: Balanced Memory Bank for Imbalanced Semi-supervised Learning
Exploring a substantial amount of unlabeled data, semi-supervised learni...
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04/27/2023
ChatVideo: A Tracklet-centric Multimodal and Versatile Video Understanding System
Existing deep video models are limited by specific tasks, fixed input-ou...
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03/24/2023
Towards Scalable Neural Representation for Diverse Videos
Implicit neural representations (INR) have gained increasing attention i...
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03/21/2023
OmniTracker: Unifying Object Tracking by Tracking-with-Detection
Object tracking (OT) aims to estimate the positions of target objects in...
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03/15/2023
DiffusionAD: Denoising Diffusion for Anomaly Detection
Anomaly detection is widely applied due to its remarkable effectiveness ...
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03/13/2023
PromptFusion: Decoupling Stability and Plasticity for Continual Learning
Continual learning refers to the capability of continuously learning fro...
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02/01/2023
Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization
Contrastive Language-Image Pretraining (CLIP) has demonstrated impressiv...
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01/10/2023
Vision Transformers Are Good Mask Auto-Labelers
We propose Mask Auto-Labeler (MAL), a high-quality Transformer-based mas...
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12/29/2022
Resolving Task Confusion in Dynamic Expansion Architectures for Class Incremental Learning
The dynamic expansion architecture is becoming popular in class incremen...
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12/13/2022
Look Before You Match: Instance Understanding Matters in Video Object Segmentation
Exploring dense matching between the current frame and past frames for l...
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12/12/2022
Fighting Malicious Media Data: A Survey on Tampering Detection and Deepfake Detection
Online media data, in the forms of images and videos, are becoming mains...
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12/05/2022
Prototypical Residual Networks for Anomaly Detection and Localization
Anomaly detection and localization are widely used in industrial manufac...
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12/01/2022
ResFormer: Scaling ViTs with Multi-Resolution Training
Vision Transformers (ViTs) have achieved overwhelming success, yet they ...
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11/23/2022
SVFormer: Semi-supervised Video Transformer for Action Recognition
Semi-supervised action recognition is a challenging but critical task du...
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09/30/2022
Semi-Supervised Single-View 3D Reconstruction via Prototype Shape Priors
The performance of existing single-view 3D reconstruction methods heavil...
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09/30/2022
Multi-Prompt Alignment for Multi-source Unsupervised Domain Adaptation
Most existing methods for multi-source unsupervised domain adaptation (U...
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09/15/2022
OmniVL:One Foundation Model for Image-Language and Video-Language Tasks
This paper presents OmniVL, a new foundation model to support both image...
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09/08/2022
Incorporating Locality of Images to Generate Targeted Transferable Adversarial Examples
Despite that leveraging the transferability of adversarial examples can ...
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06/07/2022
Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding
Leveraging large-scale data can introduce performance gains on many comp...
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04/26/2022
Deeper Insights into ViTs Robustness towards Common Corruptions
Recent literature have shown design strategies from Convolutions Neural ...
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03/28/2022
ObjectFormer for Image Manipulation Detection and Localization
Recent advances in image editing techniques have posed serious challenge...
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12/15/2021
Rethinking Nearest Neighbors for Visual Classification
Neural network classifiers have become the de-facto choice for current "...
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12/10/2021
Unified Multimodal Pre-training and Prompt-based Tuning for Vision-Language Understanding and Generation
Most existing vision-language pre-training methods focus on understandin...
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12/10/2021
Cross-Modal Transferable Adversarial Attacks from Images to Videos
Recent studies have shown that adversarial examples hand-crafted on one ...
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11/30/2021
AdaViT: Adaptive Vision Transformers for Efficient Image Recognition
Built on top of self-attention mechanisms, vision transformers have demo...
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11/23/2021
Efficient Video Transformers with Spatial-Temporal Token Selection
Video transformers have achieved impressive results on major video recog...
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11/22/2021
Semi-Supervised Vision Transformers
We study the training of Vision Transformers for semi-supervised image c...
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10/29/2021
Attacking Video Recognition Models with Bullet-Screen Comments
Recent research has demonstrated that Deep Neural Networks (DNNs) are vu...
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10/18/2021
Boosting the Transferability of Video Adversarial Examples via Temporal Translation
Although deep-learning based video recognition models have achieved rema...
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09/23/2021
Self-supervised Learning for Semi-supervised Temporal Language Grounding
Given a text description, Temporal Language Grounding (TLG) aims to loca...
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09/09/2021
Towards Transferable Adversarial Attacks on Vision Transformers
Vision transformers (ViTs) have demonstrated impressive performance on a...
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08/10/2021
FT-TDR: Frequency-guided Transformer and Top-Down Refinement Network for Blind Face Inpainting
Blind face inpainting refers to the task of reconstructing visual conten...
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06/01/2021
Rethinking Pseudo Labels for Semi-Supervised Object Detection
Recent advances in semi-supervised object detection (SSOD) are largely d...
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05/06/2021
VideoLT: Large-scale Long-tailed Video Recognition
Label distributions in real-world are oftentimes long-tailed and imbalan...
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04/24/2021
M3DeTR: Multi-representation, Multi-scale, Mutual-relation 3D Object Detection with Transformers
We present a novel architecture for 3D object detection, M3DeTR, which c...
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04/20/2021
M2TR: Multi-modal Multi-scale Transformers for Deepfake Detection
The widespread dissemination of forged images generated by Deepfake tech...
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04/20/2021
HMS: Hierarchical Modality Selection for Efficient Video Recognition
Videos are multimodal in nature. Conventional video recognition pipeline...
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04/15/2021
Exploring Visual Engagement Signals for Representation Learning
Visual engagement in social media platforms comprises interactions with ...
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03/25/2021
THAT: Two Head Adversarial Training for Improving Robustness at Scale
Many variants of adversarial training have been proposed, with most rese...
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01/26/2021
Deep Video Inpainting Detection
This paper studies video inpainting detection, which localizes an inpain...
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12/29/2020
2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition
3D convolutional networks are prevalent for video recognition. While ach...
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12/15/2020
GTA: Global Temporal Attention for Video Action Understanding
Self-attention learns pairwise interactions via dot products to model lo...
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11/11/2020
Intentonomy: a Dataset and Study towards Human Intent Understanding
An image is worth a thousand words, conveying information that goes beyo...
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09/18/2020
Prepare for the Worst: Generalizing across Domain Shifts with Adversarial Batch Normalization
Adversarial training is the industry standard for producing models that ...
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12/30/2019
Recognizing Instagram Filtered Images with Feature De-stylization
Deep neural networks have been shown to suffer from poor generalization ...
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12/11/2019
Learning from Noisy Anchors for One-stage Object Detection
State-of-the-art object detectors rely on regressing and classifying an ...
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12/03/2019