Alireza Fathi | DeepAI

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∙ 06/13/2023

AVIS: Autonomous Visual Information Seeking with Large Language Models

In this paper, we propose an autonomous information seeking visual quest...

0 Ziniu Hu, et al. ∙

∙ 06/12/2023

Retrieval-Enhanced Contrastive Vision-Text Models

Contrastive image-text models such as CLIP form the building blocks of m...

0 Ahmet Iscen, et al. ∙

∙ 04/11/2023

Improving Image Recognition by Retrieving from Web-Scale Image-Text Data

Retrieval augmented models are becoming increasingly popular for compute...

0 Ahmet Iscen, et al. ∙

∙ 12/10/2022

REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory

In this paper, we propose an end-to-end Retrieval-Augmented Visual Langu...

0 Ziniu Hu, et al. ∙

∙ 10/10/2022

A Memory Transformer Network for Incremental Learning

We study class-incremental learning, a training setup in which new class...

0 Ahmet Iscen, et al. ∙

∙ 09/08/2022

im2nerf: Image to Neural Radiance Field in the Wild

We propose im2nerf, a learning framework that predicts a continuous neur...

18 Lu Mi, et al. ∙

∙ 05/09/2022

Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation

We present Panoptic Neural Fields (PNF), an object-aware neural scene re...

32 Abhijit Kundu, et al. ∙

∙ 04/21/2022

PreTraM: Self-Supervised Pre-training via Connecting Trajectory and Map

Deep learning has recently achieved significant progress in trajectory f...

0 Chenfeng Xu, et al. ∙

∙ 12/15/2020

Object-Centric Neural Scene Rendering

We present a method for composing photorealistic scenes from captured im...

8 Michelle Guo, et al. ∙

∙ 09/24/2020

Multi-Frame to Single-Frame: Knowledge Distillation for 3D Object Detection

A common dilemma in 3D object detection for autonomous driving is that h...

0 Yue Wang, et al. ∙

∙ 07/26/2020

Virtual Multi-view Fusion for 3D Semantic Segmentation

Semantic segmentation of 3D meshes is an important problem for 3D scene ...

2 Abhijit Kundu, et al. ∙

∙ 07/24/2020

An LSTM Approach to Temporal 3D Object Detection in LiDAR Point Clouds

Detecting objects in 3D LiDAR data is a core technology for autonomous d...

35 Rui Huang, et al. ∙

∙ 07/20/2020

Pillar-based Object Detection for Autonomous Driving

We present a simple and flexible object detection framework optimized fo...

10 Yue Wang, et al. ∙

∙ 04/02/2020

DOPS: Learning to Detect 3D Objects and Predict their 3D Shapes

We propose DOPS, a fast single-stage 3D object detection method for LIDA...

0 Mahyar Najibi, et al. ∙

∙ 03/30/2020

3D-MPA: Multi Proposal Aggregation for 3D Semantic Instance Segmentation

We present 3D-MPA, a method for instance segmentation on 3D point clouds...

3 Francis Engelmann, et al. ∙

∙ 06/16/2019

Floors are Flat: Leveraging Semantics for Real-Time Surface Normal Prediction

We propose 4 insights that help to significantly improve the performance...

4 Steven Hickson, et al. ∙

∙ 06/25/2018

Tracking Emerges by Colorizing Videos

We use large amounts of unlabeled video to learn models for visual track...

0 Carl Vondrick, et al. ∙

∙ 01/03/2018

Instance Embedding Transfer to Unsupervised Video Object Segmentation

We propose a method for unsupervised video object segmentation by transf...

0 Siyang Li, et al. ∙

∙ 07/18/2017

The Devil is in the Decoder

Many machine vision applications require predictions for every pixel of ...

0 Zbigniew Wojna, et al. ∙

∙ 03/30/2017

Semantic Instance Segmentation via Deep Metric Learning

We propose a new method for semantic instance segmentation, by first com...

0 Alireza Fathi, et al. ∙

∙ 11/30/2016

Speed/accuracy trade-offs for modern convolutional object detectors

The goal of this paper is to serve as a guide for selecting a detection ...

0 Jonathan Huang, et al. ∙

∙ 06/23/2014

VideoSET: Video Summary Evaluation through Text

In this paper we present VideoSET, a method for Video Summary Evaluation...

0 Serena Yeung, et al. ∙

∙ 12/15/2013

An introduction to synchronous self-learning Pareto strategy

In last decades optimization and control of complex systems that possess...

0 Ahmad Mozaffari, et al. ∙

∙ 12/14/2013

A natural-inspired optimization machine based on the annual migration of salmons in nature

Bio inspiration is a branch of artificial simulation science that shows ...

0 Ahmad Mozaffari, et al. ∙

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