5 Accepted Papers CVPR2022!

Papers Accepted

Learning To Learn Across Diverse Data Biases in Deep Face Recognition

– Authors: Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Ramin Moslemi, Masoud Faraki, Manmohan Chandraker, Yun Fu
– Tue 6/21 2:30PM posters

On Generalizing Beyond Domains in Cross-Domain Continual Learning

– Authors: Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker
– Wed 6/22 2:30PM posters

Controllable Dynamic Multi-Task Architectures

– Authors: Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker
– Thu 6/23 8:30AM orals

MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation

– Authors: Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon
– Fri 6/24 10:00AM posters

Weakly but Deeply Supervised Occlusion-Reasoned Parametric Road Layouts

– Authors: Buyu Liu, Bingbing Zhuang, Manmohan Chandraker
– Fri 6/24 10:00AM posters

Read About Our Future and Past Events

CLEO 2026

Ezra Ip Presents at CLEO 2026 in Charlotte, NC on May 18th

Senior Researcher Ezra Ip has been invited to present Sensors Based on Forward Transmission using the Telecom Infrastructure at CLEO 2026 in Charlotte, NC, on Monday, May 18th, from 5:30-6:00pm. He explores a compelling frontier: using existing telecom networks as environmental sensors.
Kunal April

Future of Cloud Computing with GenAI: Kunal Rao at Cloud Computing 2026

Generative AI is transforming cloud computing. At Cloud Computing 2026, Kunal Rao will chair the GenAI4Cloud track and deliver a keynote on software engineering in the AI era, exploring how AI agents, LLMs, and intelligent infrastructure are redefining the cloud stack.
Eric Cool Chips 2026

Eric C. Blow to Deliver Photonic AI Keynote at COOL Chips 29 in Tokyo on April 17th

Eric C. Blow of NEC Laboratories America presents a keynote at COOL Chips 29 in Tokyo, exploring multi-modal photonic computing for real-time, ultra-efficient inference. This work highlights how photonics is reshaping AI performance, enabling faster and more energy-efficient processing across next-generation systems.
Yangmin Harvard March 18

Yangmin Ding Presents at the 5th Workshop on Foundation Models of the Electric Grid on March 18th

As AI data centers grow, the fiber-optic networks that connect massive computing clusters become critical infrastructure. This talk explores how Distributed Fiber Optic Sensing (DFOS) can turn communication cables into real-time sensors that detect physical threats and improve cyber-physical resilience.