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07/26/2023
MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation
We propose MAMo, a novel memory and attention frame-work for monocular v...
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06/09/2023
DIFT: Dynamic Iterative Field Transforms for Memory Efficient Optical Flow
Recent advancements in neural network-based optical flow estimation ofte...
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03/24/2023
DistractFlow: Improving Optical Flow Estimation via Realistic Distractions and Pseudo-Labeling
We propose a novel data augmentation approach, DistractFlow, for trainin...
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03/02/2023
DejaVu: Conditional Regenerative Learning to Enhance Dense Prediction
We present DejaVu, a novel framework which leverages conditional image r...
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02/24/2023
TransAdapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation
Test-time adaptive (TTA) semantic segmentation adapts a source pre-train...
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09/22/2022
Oracle Analysis of Representations for Deep Open Set Detection
The problem of detecting a novel class at run time is known as Open Set ...
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04/11/2022
Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation
This paper presents a novel framework to integrate both semantic and ins...
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08/01/2018