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08/13/2023
Camouflaged Image Synthesis Is All You Need to Boost Camouflaged Detection
Camouflaged objects that blend into natural scenes pose significant chal...
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08/12/2023
BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation
Cross-modal Unsupervised Domain Adaptation (UDA) aims to exploit the com...
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06/01/2023
SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Text-to-image diffusion models can create stunning images from natural l...
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05/18/2023
UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Achieving machine autonomy and human control often represent divergent o...
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03/28/2023
Uncovering the Missing Pattern: Unified Framework Towards Trajectory Imputation and Prediction
Trajectory prediction is a crucial undertaking in understanding entity m...
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03/26/2023
Frame Flexible Network
Existing video recognition algorithms always conduct different training ...
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03/21/2023
Contrastive Alignment of Vision to Language Through Parameter-Efficient Transfer Learning
Contrastive vision-language models (e.g. CLIP) are typically created by ...
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03/17/2023
GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation
Text-to-image (T2I) models based on diffusion processes have achieved re...
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03/16/2023
Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution
The field of image super-resolution (SR) has witnessed extensive neural ...
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03/02/2023
Image as Set of Points
What is an image and how to extract latent features? Convolutional Netwo...
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02/13/2023
Towards Explainable Visual Anomaly Detection
Anomaly detection and localization of visual data, including images and ...
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01/28/2023
Making Reconstruction-based Method Great Again for Video Anomaly Detection
Anomaly detection in videos is a significant yet challenging problem. Pr...
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01/12/2023
Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Pruning
The state of neural network pruning has been noticed to be unclear and e...
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12/23/2022
A Close Look at Spatial Modeling: From Attention to Convolution
Vision Transformers have shown great promise recently for many vision ta...
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12/15/2022
Real-Time Neural Light Field on Mobile Devices
Recent efforts in Neural Rendering Fields (NeRF) have shown impressive r...
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11/18/2022
Look More but Care Less in Video Recognition
Existing action recognition methods typically sample a few frames to rep...
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10/13/2022
Parameter-Efficient Masking Networks
A deeper network structure generally handles more complicated non-linear...
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07/25/2022
Trainability Preserving Neural Structured Pruning
Several recent works empirically find finetuning learning rate is critic...
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06/09/2022
Towards Layer-wise Image Vectorization
Image rasterization is a mature technique in computer graphics, while im...
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05/13/2022
Test-time Fourier Style Calibration for Domain Generalization
The topic of generalizing machine learning models learned on a collectio...
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03/31/2022
R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis
Recent research explosion on Neural Radiance Field (NeRF) shows the enco...
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03/16/2022
Hybrid Pixel-Unshuffled Network for Lightweight Image Super-Resolution
Convolutional neural network (CNN) has achieved great success on image s...
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03/09/2022
Adaptive Trajectory Prediction via Transferable GNN
Pedestrian trajectory prediction is an essential component in a wide ran...
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03/08/2022
Dual Lottery Ticket Hypothesis
Fully exploiting the learning capacity of neural networks requires overp...
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02/15/2022
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework
Point cloud analysis is challenging due to irregularity and unordered da...
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12/18/2021
Adversarial Memory Networks for Action Prediction
Action prediction aims to infer the forthcoming human action with partia...
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12/12/2021
Semi-supervised Domain Adaptive Structure Learning
Semi-supervised domain adaptation (SSDA) is quite a challenging problem ...
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11/25/2021
SLA^2P: Self-supervised Anomaly Detection with Adversarial Perturbation
Anomaly detection is a fundamental yet challenging problem in machine le...
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10/31/2021
Recognizing Families In the Wild (RFIW): The 5th Edition
Recognizing Families In the Wild (RFIW), held as a data challenge in con...
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10/12/2021
Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble
Sign language is commonly used by deaf or mute people to communicate but...
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08/17/2021
A New Backbone for Hyperspectral Image Reconstruction
The study of 3D hyperspectral image (HSI) reconstruction refers to the i...
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08/03/2021
Exploiting BERT For Multimodal Target Sentiment Classification Through Input Space Translation
Multimodal target/aspect sentiment classification combines multimodal se...
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06/22/2021
Adapting Stepsizes by Momentumized Gradients Improves Optimization and Generalization
Adaptive gradient methods, such as Adam, have achieved tremendous succes...
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05/12/2021
Dynamical Isometry: The Missing Ingredient for Neural Network Pruning
Several recent works [40, 24] observed an interesting phenomenon in neur...
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04/19/2021
Semi-Supervised Domain Adaptation with Prototypical Alignment and Consistency Learning
Domain adaptation enhances generalizability of a model across domains wi...
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04/18/2021
RPCL: A Framework for Improving Cross-Domain Detection with Auxiliary Tasks
Cross-Domain Detection (XDD) aims to train an object detector using labe...
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04/15/2021
Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution
In this paper, we address the space-time video super-resolution, which a...
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03/16/2021
Balancing Biases and Preserving Privacy on Balanced Faces in the Wild
There are demographic biases in the SOTA CNN used for FR. Our BFW datase...
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03/16/2021
Skeleton Based Sign Language Recognition Using Whole-body Keypoints
Sign language is a visual language that is used by deaf or speech impair...
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03/11/2021
Emerging Paradigms of Neural Network Pruning
Over-parameterization of neural networks benefits the optimization and g...
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02/10/2021
VINS: Visual Search for Mobile User Interface Design
Searching for relative mobile user interface (UI) design examples can ai...
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02/03/2021
One Label, One Billion Faces: Usage and Consistency of Racial Categories in Computer Vision
Computer vision is widely deployed, has highly visible, society altering...
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01/11/2021
Learning from Weakly-labeled Web Videos via Exploring Sub-Concepts
Learning visual knowledge from massive weakly-labeled web videos has att...
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12/16/2020
Neural Pruning via Growing Regularization
Regularization has long been utilized to learn sparsity in deep neural n...
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12/12/2020
Multimodal In-bed Pose and Shape Estimation under the Blankets
Humans spend vast hours in bed – about one-third of the lifetime on aver...
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12/07/2020
SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis
Advances in face rotation, along with other face-based generative tasks,...
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12/05/2020
Multi-head Knowledge Distillation for Model Compression
Several methods of knowledge distillation have been developed for neural...
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12/05/2020
Knowledge Distillation Thrives on Data Augmentation
Knowledge distillation (KD) is a general deep neural network training fr...
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09/14/2020
Collaborative Attention Mechanism for Multi-View Action Recognition
Multi-view action recognition (MVAR) leverages complementary temporal in...
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08/17/2020
