no code implementations • 27 May 2024 • Vadim Ezhov, Hyoungseob Park, Zhaoyang Zhang, Rishi Upadhyay, Howard Zhang, Chethan Chinder Chandrappa, Achuta Kadambi, Yunhao Ba, Julie Dorsey, Alex Wong
In poorly illuminated regions where photometric intensities do not afford the inference of local shape, the coarse approximation of scene depth serves as a prior; the uncertainty map is then used with the image to guide refinement through an uncertainty-driven residual learning (URL) scheme.
no code implementations • 10 Apr 2024 • Shijie Zhou, Zhiwen Fan, Dejia Xu, Haoran Chang, Pradyumna Chari, Tejas Bharadwaj, Suya You, Zhangyang Wang, Achuta Kadambi
This point cloud serves as the initial state for the centroids of 3D Gaussians.
no code implementations • 21 Mar 2024 • Blake Gella, Howard Zhang, Rishi Upadhyay, Tiffany Chang, Nathan Wei, Matthew Waliman, Yunhao Ba, Celso de Melo, Alex Wong, Achuta Kadambi
We propose a method to infer semantic segmentation maps from images captured under adverse weather conditions.
no code implementations • 18 Mar 2024 • Howard Zhang, Yunhao Ba, Ethan Yang, Rishi Upadhyay, Alex Wong, Achuta Kadambi, Yun Guo, Xueyao Xiao, Xiaoxiong Wang, Yi Li, Yi Chang, Luxin Yan, Chaochao Zheng, Luping Wang, Bin Liu, Sunder Ali Khowaja, Jiseok Yoon, Ik-Hyun Lee, Zhao Zhang, Yanyan Wei, Jiahuan Ren, Suiyi Zhao, Huan Zheng
This report reviews the results of the GT-Rain challenge on single image deraining at the UG2+ workshop at CVPR 2023.
no code implementations • 28 Dec 2023 • Pradyumna Chari, Sizhuo Ma, Daniil Ostashev, Achuta Kadambi, Gurunandan Krishnan, Jian Wang, Kfir Aberman
This approach ensures that personalization does not interfere with the restoration process, resulting in a natural appearance with high fidelity to the person's identity and the attributes of the degraded image.
no code implementations • 15 Dec 2023 • Blake Gella, Howard Zhang, Rishi Upadhyay, Tiffany Chang, Matthew Waliman, Yunhao Ba, Alex Wong, Achuta Kadambi
To this end, we create the WeatherProof Dataset, the first semantic segmentation dataset with accurate clear and adverse weather image pairs, which not only enables our new training paradigm, but also improves the evaluation of the performance gap between clear and degraded segmentation.
no code implementations • 8 Dec 2023 • Zhen Wang, Qiangeng Xu, Feitong Tan, Menglei Chai, Shichen Liu, Rohit Pandey, Sean Fanello, Achuta Kadambi, yinda zhang
State-of-the-art results from extensive experiments demonstrate MVDD's excellent ability in 3D shape generation, depth completion, and its potential as a 3D prior for downstream tasks.
no code implementations • 6 Dec 2023 • Shijie Zhou, Haoran Chang, Sicheng Jiang, Zhiwen Fan, Zehao Zhu, Dejia Xu, Pradyumna Chari, Suya You, Zhangyang Wang, Achuta Kadambi
In this work, we go one step further: in addition to radiance field rendering, we enable 3D Gaussian splatting on arbitrary-dimension semantic features via 2D foundation model distillation.
no code implementations • 1 Dec 2023 • Rishi Upadhyay, Howard Zhang, Yunhao Ba, Ethan Yang, Blake Gella, Sicheng Jiang, Alex Wong, Achuta Kadambi
We show that outputs of models trained with this constraint both appear more realistic and improve performance of downstream models trained on generated images.
1 code implementation • 30 Nov 2023 • Haolin Xiong, Sairisheek Muttukuru, Rishi Upadhyay, Pradyumna Chari, Achuta Kadambi
However, 3DGS still requires an abundance of training views to generate a coherent scene representation.
no code implementations • 29 Nov 2023 • Alexander Vilesov, Pradyumna Chari, Achuta Kadambi
With the onset of diffusion-based generative models and their ability to generate text-conditioned images, content generation has received a massive invigoration.
no code implementations • 18 Apr 2023 • Ellin Q. Zhao, Alexander Vilesov, Shreeram Athreya, Pradyumna Chari, Jeanette Merlos, Kendall Millett, Nia St. Cyr, Laleh Jalilian, Achuta Kadambi
Existing device manufacturers recommend that a subject who has been outdoors in sun re-acclimate to an indoor environment after a waiting period.
no code implementations • 6 Apr 2023 • Daniel McDuff, Theodore Curran, Achuta Kadambi
Synthetic data are becoming a critical tool for building artificially intelligent systems.
no code implementations • CVPR 2023 • Henry Peters, Yunhao Ba, Achuta Kadambi
Neural scene representations have achieved great success in parameterizing and reconstructing images, but current state of the art models are not optimized with the preservation of physical quantities in mind.
no code implementations • CVPR 2023 • Howard Zhang, Yunhao Ba, Ethan Yang, Varan Mehra, Blake Gella, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Alex Wong, Achuta Kadambi
We introduce a pipeline that uses the power of light-transport physics and a model trained on a small, initial seed dataset to reject approximately 99. 6% of unwanted scenes.
no code implementations • CVPR 2023 • Akash Deep Singh, Yunhao Ba, Ankur Sarker, Howard Zhang, Achuta Kadambi, Stefano Soatto, Mani Srivastava, Alex Wong
To fuse radar depth with an image, we propose a gated fusion scheme that accounts for the confidence scores of the correspondence so that we selectively combine radar and camera embeddings to yield a dense depth map.
no code implementations • CVPR 2023 • Zhen Wang, Shijie Zhou, Jeong Joon Park, Despoina Paschalidou, Suya You, Gordon Wetzstein, Leonidas Guibas, Achuta Kadambi
One school of thought is to encode a latent vector for each point (point latents).
no code implementations • 1 Sep 2022 • Pradyumna Chari, Yunhao Ba, Shreeram Athreya, Achuta Kadambi
A common misconception is that minority inclusion does not increase performance for majority groups alone.
1 code implementation • 22 Jun 2022 • Yunhao Ba, Howard Zhang, Ethan Yang, Akira Suzuki, Arnold Pfahnl, Chethan Chinder Chandrappa, Celso de Melo, Suya You, Stefano Soatto, Alex Wong, Achuta Kadambi
We propose a large-scale dataset of real-world rainy and clean image pairs and a method to remove degradations, induced by rain streaks and rain accumulation, from the image.
no code implementations • CVPR 2022 • Zhen Wang, Yunhao Ba, Pradyumna Chari, Oyku Deniz Bozkurt, Gianna Brown, Parth Patwa, Niranjan Vaddi, Laleh Jalilian, Achuta Kadambi
Accelerated by telemedicine, advances in Remote Photoplethysmography (rPPG) are beginning to offer a viable path toward non-contact physiological measurement.
1 code implementation • ICCV 2021 • Agastya Kalra, Guy Stoppi, Bradley Brown, Rishav Agarwal, Achuta Kadambi
Rotation augmentations generally improve a model's invariance/equivariance to rotation - except in object detection.
no code implementations • 10 Jun 2021 • Yunhao Ba, Zhen Wang, Kerim Doruk Karinca, Oyku Deniz Bozkurt, Achuta Kadambi
Camera-based remote photoplethysmography (rPPG) provides a non-contact way to measure physiological signals (e. g., heart rate) using facial videos.
no code implementations • 29 Nov 2019 • Kenichiro Tanaka, Yasuhiro Mukaigawa, Achuta Kadambi
This paper presents a method of passive non-line-of-sight (NLOS) imaging using polarization cues.
no code implementations • 27 Nov 2019 • Pradyumna Chari, Chinmay Talegaonkar, Yunhao Ba, Achuta Kadambi
In this paper, we teach a machine to discover the laws of physics from video streams.
1 code implementation • 1 Oct 2019 • Yunhao Ba, Guangyuan Zhao, Achuta Kadambi
Such generalization would require an architecture that can adapt to variations in the correctness of the physics, or in the quality of training data.
no code implementations • ECCV 2020 • Yunhao Ba, Alex Ross Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, Achuta Kadambi
This paper makes a first attempt to bring the Shape from Polarization (SfP) problem to the realm of deep learning.
no code implementations • CVPR 2016 • Achuta Kadambi, Jamie Schiel, Ramesh Raskar
A form of meter-scale, macroscopic interferometry is proposed using conventional time-of-flight (ToF) sensors.
no code implementations • 6 May 2016 • Vage Taamazyan, Achuta Kadambi, Ramesh Raskar
In this paper, we propose a new method that jointly uses viewpoint and polarization data to holistically separate diffuse and specular components, recover refractive index, and ultimately recover 3D shape.
no code implementations • ICCV 2015 • Achuta Kadambi, Vage Taamazyan, Boxin Shi, Ramesh Raskar
We propose a framework to overcome these key challenges, allowing the benefits of polarization to be used to enhance depth maps.
no code implementations • CVPR 2015 • Nikhil Naik, Achuta Kadambi, Christoph Rhemann, Shahram Izadi, Ramesh Raskar, Sing Bing Kang
Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics.
no code implementations • 5 Mar 2015 • Achuta Kadambi, Vage Taamazyan, Suren Jayasuriya, Ramesh Raskar
Time of flight cameras may emerge as the 3-D sensor of choice.
no code implementations • CVPR 2015 • Nikhil Naik, Achuta Kadambi, Christoph Rhemann, Shahram Izadi, Ramesh Raskar, Sing Bing Kang
Continuous-wave Time-of-flight (TOF) range imaging has become a commercially viable technology with many applications in computer vision and graphics.
no code implementations • 3 Apr 2014 • Ayush Bhandari, Achuta Kadambi, Refael Whyte, Christopher Barsi, Micha Feigin, Adrian Dorrington, Ramesh Raskar
Time-of-flight (ToF) cameras calculate depth maps by reconstructing phase shifts of amplitude-modulated signals.