b'Fisher Yu'

research

∙ 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...

0 Ozan Unal, et al. ∙

research

∙ 08/23/2023

MolGrapher: Graph-based Visual Recognition of Chemical Structures

The automatic analysis of chemical literature has immense potential to a...

0 Lucas Morin, et al. ∙

research

∙ 08/07/2023

Dual Aggregation Transformer for Image Super-Resolution

Transformer has recently gained considerable popularity in low-level vis...

0 Zheng Chen, et al. ∙

research

∙ 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...

0 Chunming He, et al. ∙

research

∙ 07/20/2023

Cascade-DETR: Delving into High-Quality Universal Object Detection

Object localization in general environments is a fundamental part of vis...

0 Mingqiao Ye, et al. ∙

research

∙ 07/03/2023

Segment Anything Meets Point Tracking

The Segment Anything Model (SAM) has established itself as a powerful ze...

0 Frano Rajic, et al. ∙

research

∙ 05/27/2023

Condition-Invariant Semantic Segmentation

Adaptation of semantic segmentation networks to different visual conditi...

0 Christos Sakaridis, et al. ∙

research

∙ 05/26/2023

Maskomaly:Zero-Shot Mask Anomaly Segmentation

We present a simple and practical framework for anomaly segmentation cal...

0 Jan Ackermann, et al. ∙

research

∙ 05/13/2023

Interchain Timestamping for Mesh Security

Fourteen years after the invention of Bitcoin, there has been a prolifer...

0 Ertem Nusret Tas, et al. ∙

research

∙ 04/13/2023

iDisc: Internal Discretization for Monocular Depth Estimation

Monocular depth estimation is fundamental for 3D scene understanding and...

0 Luigi Piccinelli, et al. ∙

research

∙ 03/28/2023

Mask-Free Video Instance Segmentation

The recent advancement in Video Instance Segmentation (VIS) has largely ...

0 Lei Ke, et al. ∙

research

∙ 03/07/2023

A Multiplicative Value Function for Safe and Efficient Reinforcement Learning

An emerging field of sequential decision problems is safe Reinforcement ...

0 Nick Bührer, et al. ∙

research

∙ 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...

0 Zhejun Zhang, et al. ∙

research

∙ 02/01/2023

Uncertainty-Driven Dense Two-View Structure from Motion

This work introduces an effective and practical solution to the dense tw...

0 Weirong Chen, et al. ∙

research

∙ 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...

0 Qi Fan, et al. ∙

research

∙ 10/26/2022

Learning Deep Sensorimotor Policies for Vision-based Autonomous Drone Racing

Autonomous drones can operate in remote and unstructured environments, e...

0 Jiawei Fu, et al. ∙

research

∙ 10/13/2022

Composite Learning for Robust and Effective Dense Predictions

Multi-task learning promises better model generalization on a target tas...

7 Menelaos Kanakis, et al. ∙

research

∙ 10/10/2022

Fast Hierarchical Learning for Few-Shot Object Detection

Transfer learning based approaches have recently achieved promising resu...

13 Yihang She, et al. ∙

research

∙ 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...

20 Soomin Lee, et al. ∙

research

∙ 09/06/2022

Spatio-Temporal Action Detection Under Large Motion

Current methods for spatiotemporal action tube detection often extend a ...

0 Gurkirt Singh, et al. ∙

research

∙ 07/28/2022

Video Mask Transfiner for High-Quality Video Instance Segmentation

While Video Instance Segmentation (VIS) has seen rapid progress, current...

6 Lei Ke, et al. ∙

research

∙ 07/26/2022

Tracking Every Thing in the Wild

Current multi-category Multiple Object Tracking (MOT) metrics use class ...

3 Siyuan Li, et al. ∙

research

∙ 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...

0 Ertem Nusret Tas, et al. ∙

research

∙ 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...

32 Tao Sun, et al. ∙

research

∙ 04/07/2022

Learning Online Multi-Sensor Depth Fusion

Many hand-held or mixed reality devices are used with a single sensor fo...

4 Erik Sandstrom, et al. ∙

research

∙ 03/28/2022

LiDAR Snowfall Simulation for Robust 3D Object Detection

3D object detection is a central task for applications such as autonomou...

0 Martin Hahner, et al. ∙

research

∙ 03/21/2022

Transforming Model Prediction for Tracking

Optimization based tracking methods have been widely successful by integ...

8 Christoph Mayer, et al. ∙

research

∙ 03/08/2022

Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences

We propose Probabilistic Warp Consistency, a weakly-supervised learning ...

12 Prune Truong, et al. ∙

research

∙ 03/08/2022

Generative Cooperative Learning for Unsupervised Video Anomaly Detection

Video anomaly detection is well investigated in weakly-supervised and on...

6 Muhammad Zaigham Zaheer, et al. ∙

research

∙ 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...

5 Andreas Lugmayr, et al. ∙

research

∙ 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...

0 Ertem Nusret Tas, et al. ∙

research

∙ 12/19/2021

SAGA: Stochastic Whole-Body Grasping with Contact

Human grasping synthesis has numerous applications including AR/VR, vide...

0 Yan Wu, et al. ∙

research

∙ 11/26/2021

Mask Transfiner for High-Quality Instance Segmentation

Two-stage and query-based instance segmentation methods have achieved re...

0 Lei Ke, et al. ∙

research

∙ 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...

11 Andreas Lugmayr, et al. ∙

research

∙ 11/01/2021

Dense Prediction with Attentive Feature Aggregation

Aggregating information from features across different layers is an esse...

0 Yung-Hsu Yang, et al. ∙

research

∙ 09/10/2021

TADA: Taxonomy Adaptive Domain Adaptation

Traditional domain adaptation addresses the task of adapting a model to ...

0 Rui Gong, et al. ∙

research

∙ 08/18/2021

Deep Reparametrization of Multi-Frame Super-Resolution and Denoising

We propose a deep reparametrization of the maximum a posteriori formulat...

12 Goutam Bhat, et al. ∙

research

∙ 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...

0 Zhejun Zhang, et al. ∙

research

∙ 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...

0 Gerui Wang, et al. ∙

research

∙ 07/01/2021

On the Practicality of Deterministic Epistemic Uncertainty

A set of novel approaches for estimating epistemic uncertainty in deep n...

4 Janis Postels, et al. ∙

research

∙ 06/22/2021

Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation

Multiple object tracking and segmentation requires detecting, tracking, ...

0 Lei Ke, et al. ∙

research

∙ 04/07/2021

Warp Consistency for Unsupervised Learning of Dense Correspondences

The key challenge in learning dense correspondences lies in the lack of ...

0 Prune Truong, et al. ∙

research

∙ 01/28/2021

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Current semantic segmentation methods focus only on mining "local" conte...

0 Wenguan Wang, et al. ∙

research

∙ 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...

5 Jinkun Cao, et al. ∙

research

∙ 06/11/2020

Quasi-Dense Instance Similarity Learning

Similarity metrics for instances have drawn much attention, due to their...

1 Jiangmiao Pang, et al. ∙

research

∙ 03/16/2020

Frustratingly Simple Few-Shot Object Detection

Detecting rare objects from a few examples is an emerging problem. Prior...

10 Xin Wang, et al. ∙

research

∙ 06/11/2019

Task-Aware Deep Sampling for Feature Generation

The human ability to imagine the variety of appearances of novel objects...

0 Xin Wang, et al. ∙

research

∙ 04/11/2019

TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning

Learning good feature embeddings for images often requires substantial t...

0 Xin Wang, et al. ∙

research

∙ 12/15/2018

Hierarchical Discrete Distribution Decomposition for Match Density Estimation

Existing deep learning methods for pixel correspondence output a point e...

0 Zhichao Yin, et al. ∙

research

∙ 12/05/2018

Few-shot Object Detection via Feature Reweighting

This work aims to solve the challenging few-shot object detection proble...

0 Bingyi Kang, et al. ∙

Fisher Yu

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