177 citations · 724 across the 71 of their papers we have counts for
24 papers · 1 filter
SV-GS: Sparse View 4D Reconstruction with Skeleton-Driven Gaussian Splatting
Jun-Jee Chao, Volkan Isler
Reconstructing a dynamic target moving over a large area is challenging. Standard approaches for dynamic object reconstruction require dense coverage in both the viewing space and…
Part Segmentation and Motion Estimation for Articulated Objects with Dynamic 3D Gaussians
Jun-Jee Chao, Qingyuan Jiang, Volkan Isler
Part segmentation and motion estimation are two fundamental problems for articulated object motion analysis. In this paper, we present a method to solve these two problems jointly…
FineControlNet: Fine-level Text Control for Image Generation with Spatially Aligned Text Control Injection
Hongsuk Choi, Isaac Kasahara, Selim Engin +3
Recently introduced ControlNet has the ability to steer the text-driven image generation process with geometric input such as human 2D pose, or edge features. While ControlNet prov…
VioLA: Aligning Videos to 2D LiDAR Scans
Jun-Jee Chao, Selim Engin, Nikhil Chavan-Dafle +2
We study the problem of aligning a video that captures a local portion of an environment to the 2D LiDAR scan of the entire environment. We introduce a method (VioLA) that starts w…
HandNeRF: Learning to Reconstruct Hand-Object Interaction Scene from a Single RGB Image
Hongsuk Choi, Nikhil Chavan-Dafle, Jiacheng Yuan +2
This paper presents a method to learn hand-object interaction prior for reconstructing a 3D hand-object scene from a single RGB image. The inference as well as training-data genera…
RIC: Rotate-Inpaint-Complete for Generalizable Scene Reconstruction
Isaac Kasahara, Shubham Agrawal, Selim Engin +3
General scene reconstruction refers to the task of estimating the full 3D geometry and texture of a scene containing previously unseen objects. In many practical applications such…
3D Surface Reconstruction in the Wild by Deforming Shape Priors from Synthetic Data
Nicolai Häni, Jun-Jee Chao, Volkan Isler
Reconstructing the underlying 3D surface of an object from a single image is a challenging problem that has received extensive attention from the computer vision community. Many le…
Category-Level Global Camera Pose Estimation with Multi-Hypothesis Point Cloud Correspondences
Jun-Jee Chao, Selim Engin, Nicolai Häni +1
Correspondence search is an essential step in rigid point cloud registration algorithms. Most methods maintain a single correspondence at each step and gradually remove wrong corre…
Apple Counting using Convolutional Neural Networks
Nicolai Häni, Pravakar Roy, Volkan Isler
Estimating accurate and reliable fruit and vegetable counts from images in real-world settings, such as orchards, is a challenging problem that has received significant recent atte…
PoseKernelLifter: Metric Lifting of 3D Human Pose using Sound
Zhijian Yang, Xiaoran Fan, Volkan Isler +1
Reconstructing the 3D pose of a person in metric scale from a single view image is a geometrically ill-posed problem. For example, we can not measure the exact distance of a person…
Ellipse Regression with Predicted Uncertainties for Accurate Multi-View 3D Object Estimation
Wenbo Dong, Volkan Isler
Convolutional neural network (CNN) based architectures, such as Mask R-CNN, constitute the state of the art in object detection and segmentation. Recently, these methods have been…
Fast Motion Understanding with Spatiotemporal Neural Networks and Dynamic Vision Sensors
Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler +1
This paper presents a Dynamic Vision Sensor (DVS) based system for reasoning about high speed motion. As a representative scenario, we consider the case of a robot at rest reacting…
Continuous Object Representation Networks: Novel View Synthesis without Target View Supervision
Nicolai Häni, Selim Engin, Jun-Jee Chao +1
Novel View Synthesis (NVS) is concerned with synthesizing views under camera viewpoint transformations from one or multiple input images. NVS requires explicit reasoning about 3D o…
Geodesic-HOF: 3D Reconstruction Without Cutting Corners
Ziyun Wang, Eric A. Mitchell, Volkan Isler +1
Single-view 3D object reconstruction is a challenging fundamental problem in computer vision, largely due to the morphological diversity of objects in the natural world. In particu…
Near-chip Dynamic Vision Filtering for Low-Bandwidth Pedestrian Detection
Anthony Bisulco, Fernando Cladera Ojeda, Volkan Isler +1
This paper presents a novel end-to-end system for pedestrian detection using Dynamic Vision Sensors (DVSs). We target applications where multiple sensors transmit data to a local p…
Ellipse R-CNN: Learning to Infer Elliptical Object from Clustering and Occlusion
Wenbo Dong, Pravakar Roy, Cheng Peng +1
Images of heavily occluded objects in cluttered scenes, such as fruit clusters in trees, are hard to segment. To further retrieve the 3D size and 6D pose of each individual object…
Surface HOF: Surface Reconstruction from a Single Image Using Higher Order Function Networks
Ziyun Wang, Volkan Isler, Daniel D. Lee
We address the problem of generating a high-resolution surface reconstruction from a single image. Our approach is to learn a Higher Order Function (HOF) which takes an image of an…
MinneApple: A Benchmark Dataset for Apple Detection and Segmentation
Nicolai Häni, Pravakar Roy, Volkan Isler
In this work, we present a new dataset to advance the state-of-the-art in fruit detection, segmentation, and counting in orchard environments. While there has been significant rece…
Semantics-Aware Image to Image Translation and Domain Transfer
Pravakar Roy, Nicolai Häni, Jun-Jee Chao +1
Image to image translation is the problem of transferring an image from a source domain to a different (but related) target domain. We present a new unsupervised image to image tra…
A Comparative Study of Fruit Detection and Counting Methods for Yield Mapping in Apple Orchards
Nicolai Häni, Pravakar Roy, Volkan Isler
We present new methods for apple detection and counting based on recent deep learning approaches and compare them with state-of-the-art results based on classical methods. Our goal…
Vision-Based Preharvest Yield Mapping for Apple Orchards
Pravakar Roy, Abhijeet Kislay, Patrick A. Plonski +2
We present an end-to-end computer vision system for mapping yield in an apple orchard using images captured from a single camera. Our proposed system is platform independent and do…
Adaptive View Planning for Aerial 3D Reconstruction
Cheng Peng, Volkan Isler
With the proliferation of small aerial vehicles, acquiring close up aerial imagery for high quality reconstruction of complex scenes is gaining importance. We present an adaptive v…
View Selection with Geometric Uncertainty Modeling
Cheng Peng, Volkan Isler
Estimating positions of world points from features observed in images is a key problem in 3D reconstruction, image mosaicking,simultaneous localization and mapping and structure fr…
A Novel Method for the Extrinsic Calibration of a 2D Laser Rangefinder and a Camera
Wenbo Dong, Volkan Isler
We present a novel method for extrinsically calibrating a camera and a 2D Laser Rangefinder (LRF) whose beams are invisible from the camera image. We show that point-to-plane const…