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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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08/23/2023
MolGrapher: Graph-based Visual Recognition of Chemical Structures
The automatic analysis of chemical literature has immense potential to a...
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08/07/2023
Dual Aggregation Transformer for Image Super-Resolution
Transformer has recently gained considerable popularity in low-level vis...
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08/06/2023
Strategic Preys Make Acute Predators: Enhancing Camouflaged Object Detectors by Generating Camouflaged Objects
Camouflaged object detection (COD) is the challenging task of identifyin...
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07/20/2023
Cascade-DETR: Delving into High-Quality Universal Object Detection
Object localization in general environments is a fundamental part of vis...
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07/03/2023
Segment Anything Meets Point Tracking
The Segment Anything Model (SAM) has established itself as a powerful ze...
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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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05/13/2023
Interchain Timestamping for Mesh Security
Fourteen years after the invention of Bitcoin, there has been a prolifer...
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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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03/28/2023
Mask-Free Video Instance Segmentation
The recent advancement in Video Instance Segmentation (VIS) has largely ...
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03/07/2023
A Multiplicative Value Function for Safe and Efficient Reinforcement Learning
An emerging field of sequential decision problems is safe Reinforcement ...
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03/07/2023
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction
Data-driven simulation has become a favorable way to train and test auto...
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02/01/2023
Uncertainty-Driven Dense Two-View Structure from Motion
This work introduces an effective and practical solution to the dense tw...
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11/08/2022
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts
Improving model's generalizability against domain shifts is crucial, esp...
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10/26/2022
Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing
Autonomous drones can operate in remote and unstructured environments, e...
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10/13/2022
Composite Learning for Robust and Effective Dense Predictions
Multi-task learning promises better model generalization on a target tas...
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10/10/2022
Fast Hierarchical Learning for Few-Shot Object Detection
Transfer learning based approaches have recently achieved promising resu...
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09/17/2022
Uncertainty Guided Policy for Active Robotic 3D Reconstruction using Neural Radiance Fields
In this paper, we tackle the problem of active robotic 3D reconstruction...
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09/06/2022
Spatio-Temporal Action Detection Under Large Motion
Current methods for spatiotemporal action tube detection often extend a ...
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07/28/2022
Video Mask Transfiner for High-Quality Video Instance Segmentation
While Video Instance Segmentation (VIS) has seen rapid progress, current...
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07/26/2022
Tracking Every Thing in the Wild
Current multi-category Multiple Object Tracking (MOT) metrics use class ...
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07/18/2022
Bitcoin-Enhanced Proof-of-Stake Security: Possibilities and Impossibilities
Bitcoin is the most secure blockchain in the world, supported by the imm...
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06/16/2022
SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation
Adapting to a continuously evolving environment is a safety-critical cha...
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04/07/2022
Learning Online Multi-Sensor Depth Fusion
Many hand-held or mixed reality devices are used with a single sensor fo...
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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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03/21/2022
Transforming Model Prediction for Tracking
Optimization based tracking methods have been widely successful by integ...
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03/08/2022
Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences
We propose Probabilistic Warp Consistency, a weakly-supervised learning ...
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03/08/2022
Generative Cooperative Learning for Unsupervised Video Anomaly Detection
Video anomaly detection is well investigated in weakly-supervised and on...
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01/24/2022
RePaint: Inpainting using Denoising Diffusion Probabilistic Models
Free-form inpainting is the task of adding new content to an image in th...
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01/20/2022
Babylon: Reusing Bitcoin Mining to Enhance Proof-of-Stake Security
Bitcoin is the most secure blockchain in the world, supported by the imm...
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12/19/2021
SAGA: Stochastic Whole-Body Grasping with Contact
Human grasping synthesis has numerous applications including AR/VR, vide...
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11/26/2021
Mask Transfiner for High-Quality Instance Segmentation
Two-stage and query-based instance segmentation methods have achieved re...
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11/05/2021
Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution
Super-resolution is an ill-posed problem, where a ground-truth high-reso...
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11/01/2021
Dense Prediction with Attentive Feature Aggregation
Aggregating information from features across different layers is an esse...
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09/10/2021
TADA: Taxonomy Adaptive Domain Adaptation
Traditional domain adaptation addresses the task of adapting a model to ...
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08/18/2021
Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
We propose a deep reparametrization of the maximum a posteriori formulat...
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08/18/2021
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach
End-to-end approaches to autonomous driving commonly rely on expert demo...
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08/03/2021
Accountability and Forensics in Blockchains: XDC Consensus Engine DPoS 2.0
This document introduces XinFin DPoS 2.0, the proposed next generation d...
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07/01/2021
On the Practicality of Deterministic Epistemic Uncertainty
A set of novel approaches for estimating epistemic uncertainty in deep n...
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06/22/2021
Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation
Multiple object tracking and segmentation requires detecting, tracking, ...
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04/07/2021
Warp Consistency for Unsupervised Learning of Dense Correspondences
The key challenge in learning dense correspondences lies in the lack of ...
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01/28/2021
Exploring Cross-Image Pixel Contrast for Semantic Segmentation
Current semantic segmentation methods focus only on mining "local" conte...
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01/14/2021
Instance-Aware Predictive Navigation in Multi-Agent Environments
In this work, we aim to achieve efficient end-to-end learning of driving...
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06/11/2020
Quasi-Dense Instance Similarity Learning
Similarity metrics for instances have drawn much attention, due to their...
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03/16/2020
Frustratingly Simple Few-Shot Object Detection
Detecting rare objects from a few examples is an emerging problem. Prior...
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06/11/2019
Task-Aware Deep Sampling for Feature Generation
The human ability to imagine the variety of appearances of novel objects...
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04/11/2019
TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
Learning good feature embeddings for images often requires substantial t...
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12/15/2018
Hierarchical Discrete Distribution Decomposition for Match Density Estimation
Existing deep learning methods for pixel correspondence output a point e...
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12/05/2018