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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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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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03/29/2023
Mask-free OVIS: Open-Vocabulary Instance Segmentation without Manual Mask Annotations
Existing instance segmentation models learn task-specific information us...
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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
HIVE: Harnessing Human Feedback for Instructional Visual Editing
Incorporating human feedback has been shown to be crucial to align text ...
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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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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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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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12/12/2021
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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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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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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03/11/2021
Emerging Paradigms of Neural Network Pruning
Over-parameterization of neural networks benefits the optimization and g...
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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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12/07/2020
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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02/16/2020
Face Recognition: Too Bias, or Not Too Bias?
We reveal critical insights into problems of bias in state-of-the-art fa...
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02/06/2020
Opposite Structure Learning for Semi-supervised Domain Adaptation
Current adversarial adaptation methods attempt to align the cross-domain...
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02/04/2020
Self-Directed Online Machine Learning for Topology Optimization
Topology optimization by optimally distributing materials in a given dom...
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02/04/2020
Self-Directed Online Learning for Topology Optimization
Topology optimization by optimally distributing materials in a given dom...
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02/04/2020
Deep-Learning-Enabled Simulated Annealing for Topology Optimization
Topology optimization by distributing materials in a domain requires sto...
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11/07/2019