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    [{"authors":["jiawei-Yang"],"categories":null,"content":"I will join USC in 2023 Fall to continue my PhD study, supervised by the incoming Prof. Yue Wang. He is super nice! I also feel lucky to collaborate with Prof. Bolei Zhou at UCLA.\nMy research interests lie in representation learning, with a focus on self-supervised learning, and have explored it on different data modalities. Now, I am more into 3D perception problem and exploring the field of 3D or 2D-3D joint representation learning, specifically in the area of Neural Radiance Fields (NeRF). My goal is to lift the 2D-3D correspondence to a higher level, and explore the possibility of instilling 3D understanding into 2D models.\nI’m a firm believer in simplicity and scalability that I love simple ideas that scale well and work well, and want to understand them deeply.\n","date":1677628800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1677628800,"objectID":"205c0b2c881b6620481040e459deb752","permalink":"/author/jiawei-yang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/jiawei-yang/","section":"authors","summary":"I will join USC in 2023 Fall to continue my PhD study, supervised by the incoming Prof. Yue Wang. He is super nice! I also feel lucky to collaborate with Prof.","tags":null,"title":"Jiawei Yang","type":"authors"},{"authors":["yue-wang"],"categories":null,"content":"I am a Research Scientist at NVIDIA Research Autonomous Vehicle Research Group, working with Marco Pavone. I graduated from MIT EECS in 2022, advised by Justin Solomon at Geometric Data Processing Group. I was also fortunate to collaborate with Michael Bronstein and Phillip Isola. Previously, I was a master student at University of California, San Diego. Prior to that, I received my BEng in Computer Science from Zhejiang University. I’ve received the Nvidia Fellowship (2020-2021) and the MIT EECS William A. Martin Master’s Thesis Award (2021).\nMy research lies in the intersection of computer vision, computer graphics, and robotics. My goal is to use machine learning to enable robot intelligence with minimal human supervision. I study how to design 3D learning systems which leverage geometry, appearance, and any other cues that are naturally available in sensory inputs. I am also broadly interested in eclectic applications on top of these systems.\n","date":1677628800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":1677628800,"objectID":"011f03fb5b8ad7eceeb24922cbdffbe5","permalink":"/author/yue-wang/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/yue-wang/","section":"authors","summary":"I am a Research Scientist at NVIDIA Research Autonomous Vehicle Research Group, working with Marco Pavone. I graduated from MIT EECS in 2022, advised by Justin Solomon at Geometric Data Processing Group.","tags":null,"title":"Yue Wang","type":"authors"},{"authors":["emily-jia"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"723ff74f16d075a0cbeeb49babd6bd93","permalink":"/author/emily-jia/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/emily-jia/","section":"authors","summary":"","tags":null,"title":"Emily Jia","type":"authors"},{"authors":["jiageng-mao"],"categories":null,"content":"","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"e93a134a5246ec6f9e8a3649420c2ddb","permalink":"/author/jiageng-mao/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/jiageng-mao/","section":"authors","summary":"","tags":null,"title":"Jiageng Mao","type":"authors"},{"authors":["jonathan-zamora"],"categories":null,"content":"I am a first-generation 🇲🇽 undergraduate student at UC San Diego pursuing a BS in Computer Science, and I am graduating in June 2023.\nI am advised by Prof. Xiaolong Wang, and I am interested in deep reinforcement learning, robotics, computer vision, and self-supervised learning to build intelligent agents capable of generalization, long-horizon planning, and continual adaptation in diverse and complex environments.\nOutside of research and classes, I enjoy doing leadership and outreach activities which promote Artificial Intelligence (AI) and Diversity, Equity, and Inclusion (DEI) in Science, Technology, Engineering, and Mathematics (STEM).\n","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"a88ecd7b33429034a42b838df666dc33","permalink":"/author/jonathan-zamora/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/jonathan-zamora/","section":"authors","summary":"I am a first-generation 🇲🇽 undergraduate student at UC San Diego pursuing a BS in Computer Science, and I am graduating in June 2023.\nI am advised by Prof. Xiaolong Wang, and I am interested in deep reinforcement learning, robotics, computer vision, and self-supervised learning to build intelligent agents capable of generalization, long-horizon planning, and continual adaptation in diverse and complex environments.","tags":null,"title":"Jonathan Zamora","type":"authors"},{"authors":["junjie-ye"],"categories":null,"content":"I am an (incoming) CS PhD student at USC, advised by Prof. Yue Wang. I obtained my bachelor’s and master’s degrees from Tongji University with the highest honor Academic Pioneer, where I worked in Vision4robotics Group directed by Prof. Changhong Fu. I have been fortunate to spend time at CVG Group in ETHz (under ETH RSF 2022), and MARS Lab in QiZhi Institute.\n","date":-62135596800,"expirydate":-62135596800,"kind":"term","lang":"en","lastmod":-62135596800,"objectID":"fe2fccb538ad42b64242c0535fb42663","permalink":"/author/junjie-ye/","publishdate":"0001-01-01T00:00:00Z","relpermalink":"/author/junjie-ye/","section":"authors","summary":"I am an (incoming) CS PhD student at USC, advised by Prof. Yue Wang. I obtained my bachelor’s and master’s degrees from Tongji University with the highest honor Academic Pioneer, where I worked in Vision4robotics Group directed by Prof.","tags":null,"title":"Junjie Ye","type":"authors"},{"authors":[],"categories":null,"content":"Slides can be added in a few ways:\n Create slides using Wowchemy’s Slides feature and link using slides parameter in the front matter of the talk file Upload an existing slide deck to static/ and link using url_slides parameter in the front matter of the talk file Embed your slides (e.g. Google Slides) or presentation video on this page using shortcodes.  Further event details, including page elements such as image galleries, can be added to the body of this page.\n","date":1906549200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1906549200,"objectID":"a8edef490afe42206247b6ac05657af0","permalink":"/event/example/","publishdate":"2017-01-01T00:00:00Z","relpermalink":"/event/example/","section":"event","summary":"An example event.","tags":[],"title":"Example Event","type":"event"},{"authors":["Jiawei Yang","Marco Pavone","Yue Wang"],"categories":null,"content":" Click the Cite button above to demo the feature to enable visitors to import publication metadata into their reference management software.   Supplementary notes can be added here, including [code and math](https://wowchemy.com/docs/content/writing-markdown-latex/). --\r","date":1677628800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1677628800,"objectID":"a7e42a7ca81c07caf32f139ddaf69ee7","permalink":"/publication/2023_cvpr_freenerf/","publishdate":"2023-03-01T00:00:00Z","relpermalink":"/publication/2023_cvpr_freenerf/","section":"publication","summary":"Novel view synthesis with sparse inputs is a challenging problem for neural radiance fields (NeRF). Recent efforts alleviate this challenge by introducing external supervision, such as pre-trained models and extra depth signals, or by using non-trivial patch-based rendering. In this paper, we present Frequency regularized NeRF (FreeNeRF), a surprisingly simple baseline that outperforms previous methods with minimal modifications to plain NeRF. We analyze the key challenges in few-shot neural rendering and find that frequency plays an important role in NeRF's training. Based on this analysis, we propose two regularization terms - one to regularize the frequency range of NeRF's inputs, and the other to penalize the near-camera density fields. Both techniques are \"free lunches\" that come at no additional computational cost. We demonstrate that even with just one line of code change, the original NeRF can achieve similar performance to other complicated methods in the few-shot setting. FreeNeRF achieves state-of-the-art performance across diverse datasets, including Blender, DTU, and LLFF. We hope that this simple baseline will motivate a rethinking of the fundamental role of frequency in NeRF's training, under both the low-data regime and beyond. This project is released at https://jiawei-yang.github.io/FreeNeRF/.","tags":["NeRF"],"title":"FreeNeRF: Improving Few-shot Neural Rendering with Free Frequency Regularization","type":"publication"},{"authors":null,"categories":null,"content":"","date":1666569600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1666569600,"objectID":"6d99026b9e19e4fa43d5aadf147c7176","permalink":"/contact/","publishdate":"2022-10-24T00:00:00Z","relpermalink":"/contact/","section":"","summary":"","tags":null,"title":"Contact","type":"landing"},{"authors":null,"categories":null,"content":"","date":1666569600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1666569600,"objectID":"c1d17ff2b20dca0ad6653a3161942b64","permalink":"/people/","publishdate":"2022-10-24T00:00:00Z","relpermalink":"/people/","section":"","summary":"","tags":null,"title":"People","type":"landing"},{"authors":null,"categories":null,"content":"","date":1666569600,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1666569600,"objectID":"b0d61e5cbb7472bf320bf0ef2aaeb977","permalink":"/tour/","publishdate":"2022-10-24T00:00:00Z","relpermalink":"/tour/","section":"","summary":"","tags":null,"title":"Tour","type":"landing"},{"authors":null,"categories":null,"content":"Congratulations to Jian Yang and Monica Hall for winning the Best Paper Award at the 2020 Conference on Wowchemy for their paper “Learning Wowchemy”.\nLorem ipsum dolor sit amet, consectetur adipiscing elit. Integer tempus augue non tempor egestas. Proin nisl nunc, dignissim in accumsan dapibus, auctor ullamcorper neque. Quisque at elit felis. Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Aenean eget elementum odio. Cras interdum eget risus sit amet aliquet. In volutpat, nisl ut fringilla dignissim, arcu nisl suscipit ante, at accumsan sapien nisl eu eros.\nSed eu dui nec ligula bibendum dapibus. Nullam imperdiet auctor tortor, vel cursus mauris malesuada non. Quisque ultrices euismod dapibus. Aenean sed gravida risus. Sed nisi tortor, vulputate nec quam non, placerat porta nisl. Nunc varius lobortis urna, condimentum facilisis ipsum molestie eu. Ut molestie eleifend ligula sed dignissim. Duis ut tellus turpis. Praesent tincidunt, nunc sed congue malesuada, mauris enim maximus massa, eget interdum turpis urna et ante. Morbi sem nisl, cursus quis mollis et, interdum luctus augue. Aliquam laoreet, leo et accumsan tincidunt, libero neque aliquet lectus, a ultricies lorem mi a orci.\nMauris dapibus sem vel magna convallis laoreet. Donec in venenatis urna, vitae sodales odio. Praesent tortor diam, varius non luctus nec, bibendum vel est. Quisque id sem enim. Maecenas at est leo. Vestibulum tristique pellentesque ex, blandit placerat nunc eleifend sit amet. Fusce eget lectus bibendum, accumsan mi quis, luctus sem. Etiam vitae nulla scelerisque, eleifend odio in, euismod quam. Etiam porta ullamcorper massa, vitae gravida turpis euismod quis. Mauris sodales sem ac ultrices viverra. In placerat ultrices sapien. Suspendisse eu arcu hendrerit, luctus tortor cursus, maximus dolor. Proin et velit et quam gravida dapibus. Donec blandit justo ut consequat tristique.\n","date":1606867200,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1606867200,"objectID":"2a0ec8a990dbd78a00c4e15a09364b00","permalink":"/post/20-12-02-icml-best-paper/","publishdate":"2020-12-02T00:00:00Z","relpermalink":"/post/20-12-02-icml-best-paper/","section":"post","summary":"Congratulations to Jian Yang and Monica Hall for winning the Best Paper Award at the 2020 Conference on Wowchemy for their paper “Learning Wowchemy”.\n","tags":null,"title":"Jian Yang and Monica Hall Win the Best Paper Award at Wowchemy 2020","type":"post"},{"authors":null,"categories":null,"content":"Congratulations to Richard Hendricks for winning first place in the Wowchemy Prize.\nLorem ipsum dolor sit amet, consectetur adipiscing elit. Integer tempus augue non tempor egestas. Proin nisl nunc, dignissim in accumsan dapibus, auctor ullamcorper neque. Quisque at elit felis. Vestibulum ante ipsum primis in faucibus orci luctus et ultrices posuere cubilia curae; Aenean eget elementum odio. Cras interdum eget risus sit amet aliquet. In volutpat, nisl ut fringilla dignissim, arcu nisl suscipit ante, at accumsan sapien nisl eu eros.\nSed eu dui nec ligula bibendum dapibus. Nullam imperdiet auctor tortor, vel cursus mauris malesuada non. Quisque ultrices euismod dapibus. Aenean sed gravida risus. Sed nisi tortor, vulputate nec quam non, placerat porta nisl. Nunc varius lobortis urna, condimentum facilisis ipsum molestie eu. Ut molestie eleifend ligula sed dignissim. Duis ut tellus turpis. Praesent tincidunt, nunc sed congue malesuada, mauris enim maximus massa, eget interdum turpis urna et ante. Morbi sem nisl, cursus quis mollis et, interdum luctus augue. Aliquam laoreet, leo et accumsan tincidunt, libero neque aliquet lectus, a ultricies lorem mi a orci.\nMauris dapibus sem vel magna convallis laoreet. Donec in venenatis urna, vitae sodales odio. Praesent tortor diam, varius non luctus nec, bibendum vel est. Quisque id sem enim. Maecenas at est leo. Vestibulum tristique pellentesque ex, blandit placerat nunc eleifend sit amet. Fusce eget lectus bibendum, accumsan mi quis, luctus sem. Etiam vitae nulla scelerisque, eleifend odio in, euismod quam. Etiam porta ullamcorper massa, vitae gravida turpis euismod quis. Mauris sodales sem ac ultrices viverra. In placerat ultrices sapien. Suspendisse eu arcu hendrerit, luctus tortor cursus, maximus dolor. Proin et velit et quam gravida dapibus. Donec blandit justo ut consequat tristique.\n","date":1606780800,"expirydate":-62135596800,"kind":"page","lang":"en","lastmod":1606780800,"objectID":"be2bd15f022f0d83fe9ffd743881e70c","permalink":"/post/20-12-01-wowchemy-prize/","publishdate":"2020-12-01T00:00:00Z","relpermalink":"/post/20-12-01-wowchemy-prize/","section":"post","summary":"Congratulations to Richard Hendricks for winning first place in the Wowchemy Prize.\n","tags":null,"title":"Richard Hendricks Wins First Place in the Wowchemy Prize","type":"post"}]