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09/08/2023
Three Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding
3D visual grounding is the task of localizing the object in a 3D scene w...
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05/27/2023
Condition-Invariant Semantic Segmentation
Adaptation of semantic segmentation networks to different visual conditi...
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05/26/2023
Maskomaly:Zero-Shot Mask Anomaly Segmentation
We present a simple and practical framework for anomaly segmentation cal...
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04/23/2023
Indiscernible Object Counting in Underwater Scenes
Recently, indiscernible scene understanding has attracted a lot of atten...
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04/21/2023
Advances in Deep Concealed Scene Understanding
Concealed scene understanding (CSU) is a hot computer vision topic aimin...
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04/13/2023
iDisc: Internal Discretization for Monocular Depth Estimation
Monocular depth estimation is fundamental for 3D scene understanding and...
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04/11/2023
CamDiff: Camouflage Image Augmentation via Diffusion Model
The burgeoning field of camouflaged object detection (COD) seeks to iden...
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03/25/2023
OVeNet: Offset Vector Network for Semantic Segmentation
Semantic segmentation is a fundamental task in visual scene understandin...
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03/21/2023
Lidar Line Selection with Spatially-Aware Shapley Value for Cost-Efficient Depth Completion
Lidar is a vital sensor for estimating the depth of a scene. Typical spi...
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03/09/2023
Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation
Standard unsupervised domain adaptation methods adapt models from a sour...
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01/12/2023
Event-Based Frame Interpolation with Ad-hoc Deblurring
The performance of video frame interpolation is inherently correlated wi...
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10/27/2022
Masked Vision-Language Transformer in Fashion
We present a masked vision-language transformer (MVLT) for fashion-speci...
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09/30/2022
TT-NF: Tensor Train Neural Fields
Learning neural fields has been an active topic in deep learning researc...
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07/14/2022
Refign: Align and Refine for Adaptation of Semantic Segmentation to Adverse Conditions
Due to the scarcity of dense pixel-level semantic annotations for images...
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07/03/2022
Lasers to Events: Automatic Extrinsic Calibration of Lidars and Event Cameras
Despite significant academic and corporate efforts, autonomous driving u...
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06/30/2022
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection
Besides standard cameras, autonomous vehicles typically include multiple...
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04/05/2022
P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior
Monocular depth estimation is vital for scene understanding and downstre...
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03/28/2022
LiDAR Snowfall Simulation for Robust 3D Object Detection
3D object detection is a central task for applications such as autonomou...
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11/30/2021
MEFNet: Multi-scale Event Fusion Network for Motion Deblurring
Traditional frame-based cameras inevitably suffer from motion blur due t...
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08/11/2021
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather
This work addresses the challenging task of LiDAR-based 3D object detect...
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04/27/2021
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding
Level 5 autonomy for self-driving cars requires a robust visual percepti...
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05/28/2020
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation
We address the problem of semantic nighttime image segmentation and impr...
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10/09/2019
Semantic Understanding of Foggy Scenes with Purely Synthetic Data
This work addresses the problem of semantic scene understanding under fo...
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01/17/2019
Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation
This work addresses the problem of semantic segmentation of nighttime im...
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01/05/2019
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding
This work addresses the problem of semantic scene understanding under fo...
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08/03/2018
Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding
This work addresses the problem of semantic scene understanding under de...
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03/08/2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Object detection typically assumes that training and test data are drawn...
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08/25/2017
Semantic Foggy Scene Understanding with Synthetic Data
This work addresses the problem of semantic foggy scene understanding (S...
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10/24/2016