6 citations · 31 across the 25 of their papers we have counts for
17 papers · 1 filter
Ref-DVGO: Reflection-Aware Direct Voxel Grid Optimization for an Improved Quality-Efficiency Trade-Off in Reflective Scene Reconstruction
Georgios Kouros, Minye Wu, Shubham Shrivastava +3
Neural Radiance Fields (NeRFs) have revolutionized the field of novel view synthesis, demonstrating remarkable performance. However, the modeling and rendering of reflective object…
DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions
Stephen Hausler, Sourav Garg, Punarjay Chakravarty +3
Can knowing where you are assist in perceiving objects in your surroundings, especially under adverse weather and lighting conditions? In this work we investigate whether a prior m…
FQDet: Fast-converging Query-based Detector
Cédric Picron, Punarjay Chakravarty, Tinne Tuytelaars
Recently, two-stage Deformable DETR introduced the query-based two-stage head, a new type of two-stage head different from the region-based two-stage heads of classical detectors a…
Category-Level Pose Retrieval with Contrastive Features Learnt with Occlusion Augmentation
Georgios Kouros, Shubham Shrivastava, Cédric Picron +3
Pose estimation is usually tackled as either a bin classification or a regression problem. In both cases, the idea is to directly predict the pose of an object. This is a non-trivi…
Real-time Full-stack Traffic Scene Perception for Autonomous Driving with Roadside Cameras
Zhengxia Zou, Rusheng Zhang, Shengyin Shen +4
We propose a novel and pragmatic framework for traffic scene perception with roadside cameras. The proposed framework covers a full-stack of roadside perception pipeline for infras…
Full-Velocity Radar Returns by Radar-Camera Fusion
Yunfei Long, Daniel Morris, Xiaoming Liu +3
A distinctive feature of Doppler radar is the measurement of velocity in the radial direction for radar points. However, the missing tangential velocity component hampers object ve…
Radar-Camera Pixel Depth Association for Depth Completion
Yunfei Long, Daniel Morris, Xiaoming Liu +3
While radar and video data can be readily fused at the detection level, fusing them at the pixel level is potentially more beneficial. This is also more challenging in part due to…
S-BEV: Semantic Birds-Eye View Representation for Weather and Lighting Invariant 3-DoF Localization
Mokshith Voodarla, Shubham Shrivastava, Sagar Manglani +3
We describe a light-weight, weather and lighting invariant, Semantic Bird's Eye View (S-BEV) signature for vision-based vehicle re-localization. A topological map of S-BEV signatur…
Sim2Real for Self-Supervised Monocular Depth and Segmentation
Nithin Raghavan, Punarjay Chakravarty, Shubham Shrivastava
Image-based learning methods for autonomous vehicle perception tasks require large quantities of labelled, real data in order to properly train without overfitting, which can often…
What My Motion tells me about Your Pose: A Self-Supervised Monocular 3D Vehicle Detector
Cédric Picron, Punarjay Chakravarty, Tom Roussel +1
The estimation of the orientation of an observed vehicle relative to an Autonomous Vehicle (AV) from monocular camera data is an important building block in estimating its 6 DoF po…
CubifAE-3D: Monocular Camera Space Cubification for Auto-Encoder based 3D Object Detection
Shubham Shrivastava, Punarjay Chakravarty
We introduce a method for 3D object detection using a single monocular image. Starting from a synthetic dataset, we pre-train an RGB-to-Depth Auto-Encoder (AE). The embedding learn…
Deflating Dataset Bias Using Synthetic Data Augmentation
Nikita Jaipuria, Xianling Zhang, Rohan Bhasin +5
Deep Learning has seen an unprecedented increase in vision applications since the publication of large-scale object recognition datasets and introduction of scalable compute hardwa…
Deep-Geometric 6 DoF Localization from a Single Image in Topo-metric Maps
Tom Roussel, Punarjay Chakravarty, Gaurav Pandey +2
We describe a Deep-Geometric Localizer that is able to estimate the full 6 Degree of Freedom (DoF) global pose of the camera from a single image in a previously mapped environment.…
GEN-SLAM: Generative Modeling for Monocular Simultaneous Localization and Mapping
Punarjay Chakravarty, Praveen Narayanan, Tom Roussel
We present a Deep Learning based system for the twin tasks of localization and obstacle avoidance essential to any mobile robot. Our system learns from conventional geometric SLAM,…
Who's that Actor? Automatic Labelling of Actors in TV series starting from IMDB Images
Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars
In this work, we aim at automatically labeling actors in a TV series. Rather than relying on transcripts and subtitles, as has been demonstrated in the past, we show how to achieve…
Expert Gate: Lifelong Learning with a Network of Experts
Rahaf Aljundi, Punarjay Chakravarty, Tinne Tuytelaars
In this paper we introduce a model of lifelong learning, based on a Network of Experts. New tasks / experts are learned and added to the model sequentially, building on what was le…
Cross-modal Supervision for Learning Active Speaker Detection in Video
Punarjay Chakravarty, Tinne Tuytelaars
In this paper, we show how to use audio to supervise the learning of active speaker detection in video. Voice Activity Detection (VAD) guides the learning of the vision-based class…