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08/15/2023
UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation
Jointly processing information from multiple sensors is crucial to achie...
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03/21/2023
Using Explanations to Guide Models
Deep neural networks are highly performant, but might base their decisio...
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02/02/2023
No One Left Behind: Real-World Federated Class-Incremental Learning
Federated learning (FL) is a hot collaborative training framework via ag...
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01/26/2023
SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning
The critical challenge of Semi-Supervised Learning (SSL) is how to effec...
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01/15/2023
DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets
Designing an efficient yet deployment-friendly 3D backbone to handle spa...
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09/27/2022
Motion Transformer with Global Intention Localization and Local Movement Refinement
Predicting multimodal future behavior of traffic participants is essenti...
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09/20/2022
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge – Motion Prediction
In this report, we present the 1st place solution for motion prediction ...
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09/13/2022
ComplETR: Reducing the cost of annotations for object detection in dense scenes with vision transformers
Annotating bounding boxes for object detection is expensive, time-consum...
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03/18/2021
Deep Wiener Deconvolution: Wiener Meets Deep Learning for Image Deblurring
We present a simple and effective approach for non-blind image deblurrin...
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08/19/2020
Attribute Prototype Network for Zero-Shot Learning
From the beginning of zero-shot learning research, visual attributes hav...
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02/28/2020
A U-Net Based Discriminator for Generative Adversarial Networks
Among the major remaining challenges for generative adversarial networks...
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04/17/2019
LCC: Learning to Customize and Combine Neural Networks for Few-Shot Learning
Meta-learning has been shown to be an effective strategy for few-shot le...
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12/06/2018
Knockoff Nets: Stealing Functionality of Black-Box Models
Machine Learning (ML) models are increasingly deployed in the wild to pe...
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11/24/2017
Natural and Effective Obfuscation by Head Inpainting
As more and more personal photos are shared online, being able to obfusc...
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10/09/2017
Person Recognition in Social Media Photos
People nowadays share large parts of their personal lives through social...
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05/25/2017
Pose Guided Person Image Generation
This paper proposes the novel Pose Guided Person Generation Network (PG^...
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05/08/2017
Learning non-maximum suppression
Object detectors have hugely profited from moving towards an end-to-end ...
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05/17/2016
Generative Adversarial Text to Image Synthesis
Automatic synthesis of realistic images from text would be interesting a...
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05/12/2016
Movie Description
Audio Description (AD) provides linguistic descriptions of movies and al...
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04/06/2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
Visual understanding of complex urban street scenes is an enabling facto...
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01/12/2015
